{"id":"W2804505047","doi":"10.1093/icesjms/fsx212","title":"Modelling the behaviour of fishers and fishes","year":2017,"lang":"en","type":"article","venue":"ICES Journal of Marine Science","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Simple (philosophy); Ecology; Resource (disambiguation); Computer science; Field (mathematics); Operations research; Mathematical economics; Management science; Economics; Biology; Engineering; Mathematics; Epistemology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005027408,0.0004085288,0.0003604275,0.0004215383,0.0003944917,0.00112397,0.0009340722,0.001107514,0.004462644],"category_scores_gemma":[0.002533568,0.0003219579,0.0006326591,0.0003465607,0.001083153,0.001195069,0.0009916867,0.0007116229,0.0004491737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001638283,"about_ca_system_score_gemma":0.001104519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0384229,"about_ca_topic_score_gemma":0.01924986,"domain_scores_codex":[0.9997583,0.00009495174,0.00001199757,0.00005502072,0.00003671883,0.00004297373],"domain_scores_gemma":[0.9995267,0.0002263143,0.0001107816,0.00002680688,0.00003642555,0.00007290396],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003284926,0.00003013064,0.01258444,0.00003764653,0.00005158165,0.0001010992,0.000243708,0.9276813,0.0006778802,0.05325246,0.001006118,0.004300837],"study_design_scores_gemma":[0.00001296896,0.00003183036,0.002410894,0.00001776909,0.00002004844,0.00003276346,0.000151677,0.9628883,0.0001364864,0.03169815,0.002578506,0.0000206197],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7253113,0.0009327891,0.2247655,0.004402609,0.0001973161,0.00008196442,0.0009856299,0.0002520806,0.04307093],"genre_scores_gemma":[0.9773346,0.0003280985,0.01057615,0.0001213092,0.00002593927,0.00004455512,0.0001590304,0.00002913203,0.0113811],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0384229,"threshold_uncertainty_score":0.07639855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03196962295949344,"score_gpt":0.2808388368923685,"score_spread":0.2488692139328751,"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."}}