{"meta":{"query_hash":"08107b44d1d3","filters":{"venue":"Conference Publications"},"cohort_total":1,"direct_labels_cover":0,"predictions_cover":1,"exported":1,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/08107b44d1d3","api":"https://metacan.xera.ac/api/v1/cohort?venue=Conference+Publications"},"results":[{"id":"W2778146026","doi":"10.3934/proc.2007.2007.667","title":"Positive steady state of a food chain system with diffusion","year":2007,"lang":"en","type":"article","venue":"Conference Publications","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Steady state (chemistry); Diffusion; Predation; Mathematics; Fixed-point index; Flow (mathematics); Food chain; Index (typography); Biological system; Ecology; Thermodynamics; Biology; Computer science; Physics; Mathematical analysis; Chemistry","score_opus":0.036172651800862286,"score_gpt":0.28661926148463274,"score_spread":0.25044660968377047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2778146026","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6009696,0.002157486,0.3609511,0.0014145417,0.00015060855,0.00007799436,0.00022050262,0.00040051475,0.03365766],"genre_scores_gemma":[0.9792651,0.0005958477,0.012483847,0.000084782994,0.00006866014,0.00008601282,0.00009455908,0.000031176416,0.0072900187],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997265,0.00007386607,0.000014933649,0.000063070285,0.00006958372,0.00005208281],"domain_scores_gemma":[0.9993437,0.00031394215,0.00010549998,0.000026619782,0.00013595697,0.000074199634],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000643409,0.00033228166,0.0004831849,0.0008634046,0.0006894348,0.0017388635,0.00041811657,0.0008049971,0.0026316752],"category_scores_gemma":[0.0015978029,0.00027156805,0.00051756616,0.00039529626,0.0010278975,0.0012604827,0.0010205319,0.0005908881,0.00032937527],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017782554,0.000087955246,0.0045200223,0.00030000746,0.00013001448,0.0012182315,0.00088191725,0.16061936,0.037538957,0.7766883,0.0025341695,0.015303203],"study_design_scores_gemma":[0.000104778555,0.00027786373,0.0025007667,0.000076586526,0.000096084026,0.0007450479,0.0002761985,0.7307291,0.006863899,0.2524279,0.0057961866,0.00010554335],"about_ca_topic_score_codex":0.0015456451,"about_ca_topic_score_gemma":0.0006831396,"teacher_disagreement_score":0.0026316752,"about_ca_system_score_codex":0.00075946865,"about_ca_system_score_gemma":0.0006436804,"threshold_uncertainty_score":0.008803785},"labels":[],"label_agreement":null}]}