{"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,"ca_institutions":"Queen's University","funders":"","keywords":"Physarum polycephalum; Slime mold; Physarum; Computer science; Protoplasm; Biology; Botany; Cytoplasm","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"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"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06754047113088774,"score_gpt":0.3303457911759936,"score_spread":0.2628053200451059,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}