{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":3,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":3,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"query_hash":"d421893cce5e","filters":{"venue":"International Journal of Natural Computing Research"}},"results":[{"id":"W2963076492","doi":"10.4018/jncr.2011100103","title":"Trans-Canada Slimeways","year":2011,"lang":"en","type":"article","venue":"International Journal of Natural Computing Research","topic":"Slime Mold and Myxomycetes Research","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Queen's University","funders":"","keywords":"Physarum polycephalum; Slime mold; Physarum; Computer science; Protoplasm; Biology; Botany; Cytoplasm","retraction":null,"screen_n_in":null,"score":{"opus":0.06754047113088774,"gpt":0.3303457911759936,"spread":0.2628053200451059,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009978265,0.00009527034,0.0001449956,0.0004026128,0.00006631202,0.00006414662,0.001038147,0.00004493471,0.0001871428],"category_scores_gemma":[0.0001976599,0.00008055208,0.00008568427,0.0002577817,0.00006025858,0.000149148,0.00009138518,0.001152238,0.000009031853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003375727,"about_ca_system_score_gemma":0.0002678832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005806782,"about_ca_topic_score_gemma":0.002317942,"domain_scores_codex":[0.9974566,0.00008554551,0.0003551811,0.0000947287,0.001632846,0.0003751659],"domain_scores_gemma":[0.9980686,0.0003333324,0.0000438162,0.00009970581,0.001317011,0.0001375155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001126227,0.0003836844,0.04897747,0.0002108015,0.002945988,0.007531533,0.007070462,0.006947577,0.1470502,0.003803398,0.1301046,0.6438481],"study_design_scores_gemma":[0.006918016,0.001101142,0.3619268,0.001457144,0.00005060645,0.003029546,0.002764371,0.1634777,0.2362734,0.004650064,0.2167458,0.001605382],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9847029,0.001490518,0.0001776936,0.0004118388,0.003021035,0.00007373198,0.000004554036,0.00003445271,0.01008321],"genre_scores_gemma":[0.9979869,0.00008216434,0.001112669,0.00003288914,0.0006439023,4.179985e-7,0.000001669369,0.00001860614,0.0001208441],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6422427,"threshold_uncertainty_score":0.8778156,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1972326562","doi":"10.4018/jncr.2010070106","title":"Response Curves for Cellular Automata in One and Two Dimensions","year":2010,"lang":"en","type":"article","venue":"International Journal of Natural Computing Research","topic":"Cellular Automata and Applications","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Brock University","funders":"","keywords":"Cellular automaton; Mathematics; Binary number; Automaton; Finite set; Discrete mathematics; Statistical physics; Combinatorics; Pure mathematics; Algorithm; Mathematical analysis; Computer science; Theoretical computer science; Physics; Arithmetic","retraction":null,"screen_n_in":null,"score":{"opus":0.05699426516040496,"gpt":0.4073881739828324,"spread":0.3503939088224275,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004459322,0.00007644596,0.0001431228,0.000551292,0.0001296979,0.0002096056,0.001380553,0.00003905559,0.000004049061],"category_scores_gemma":[0.001239183,0.00006803705,0.00006388695,0.0003512246,0.00009470551,0.0003093907,0.0005340628,0.0008392843,0.000004284106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005341033,"about_ca_system_score_gemma":0.0001750808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002216574,"about_ca_topic_score_gemma":0.00001498865,"domain_scores_codex":[0.9981691,0.00018879,0.0003816849,0.0002030011,0.0008211692,0.0002363015],"domain_scores_gemma":[0.996453,0.001992724,0.0001490008,0.0002325451,0.001077579,0.00009513074],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002837967,0.0003502352,0.0009768584,0.00003398189,0.00007136697,0.0001407219,0.0005357215,0.00008743091,0.8837393,0.05471396,0.003007799,0.05605881],"study_design_scores_gemma":[0.005254157,0.0004345569,0.05424722,0.001193597,0.000012669,0.001055745,0.0000878302,0.8222681,0.06057983,0.02718168,0.02722387,0.0004607504],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9494697,0.0007814536,0.02659458,0.02214771,0.0007363094,0.0001962691,0.000003603304,0.00002621231,0.00004413351],"genre_scores_gemma":[0.9581346,0.00004527711,0.04143294,0.0001462817,0.0001707502,0.000002696641,0.000003065014,0.000006463149,0.00005792142],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8231595,"threshold_uncertainty_score":0.364632,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2062366609","doi":"10.4018/jncr.2010070101","title":"Simulation of Multiple Cell Population Dynamics Using a 3-D Cellular Automata Model for Tissue Growth","year":2010,"lang":"en","type":"article","venue":"International Journal of Natural Computing Research","topic":"Mathematical Biology Tumor Growth","field":"Mathematics","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cellular automaton; Computer science; Multicellular organism; Dynamics (music); Population; Biological system; Division (mathematics); Automaton; Population model; Algorithm; Theoretical computer science; Cell; Mathematics; Chemistry; Physics; Biology","retraction":null,"screen_n_in":null,"score":{"opus":0.1078766899905368,"gpt":0.4500598763861706,"spread":0.3421831863956338,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002746547,0.0001342924,0.0003183368,0.0005089709,0.0001117735,0.00005621162,0.0007420897,0.0001455711,0.000009478729],"category_scores_gemma":[0.008290427,0.0001129456,0.0001499227,0.0001867943,0.000101596,0.000193195,0.0002053498,0.0008580505,0.000001249075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001869731,"about_ca_system_score_gemma":0.0001022583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002641492,"about_ca_topic_score_gemma":0.00001697187,"domain_scores_codex":[0.9974736,0.0001370359,0.0008739313,0.000173294,0.001070672,0.0002714445],"domain_scores_gemma":[0.9906205,0.00507251,0.000701461,0.0001707488,0.003356774,0.00007799363],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001189934,0.001522376,0.00964009,0.001197713,0.0003934966,0.00006947301,0.001792434,0.2161731,0.594015,0.1656244,0.0003416,0.008040333],"study_design_scores_gemma":[0.0007640294,0.0000765757,0.0002092736,0.0001037113,0.0000162804,0.00002775343,0.00003220385,0.8776568,0.0117829,0.1092377,0.000003789677,0.00008902077],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7300382,0.00001471853,0.2689871,0.0001785451,0.0004843337,0.0002235641,0.00001710901,0.00001451642,0.00004191202],"genre_scores_gemma":[0.835463,7.031448e-7,0.1641463,0.000007241744,0.0002968305,7.678424e-7,0.00001810856,0.00002228988,0.0000447559],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6614836,"threshold_uncertainty_score":0.9925014,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}