{"id":"W2101757857","doi":"10.1046/j.1365-2400.2000.00232.x","title":"Applications and characteristics of angler diary programmes in Ontario, Canada","year":2000,"lang":"en","type":"article","venue":"Fisheries Management and Ecology","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministry of Natural Resources","keywords":"Christian ministry; Staffing; Variety (cybernetics); Agency (philosophy); Geography; Business; Fishery; Political science; Computer science; Sociology; Social science; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0000611385,0.0000473767,0.00008089018,0.00001148168,0.00004775766,0.000004981476,0.00004247987,0.0000315064,0.003688856],"category_scores_gemma":[0.000001876168,0.00004911922,0.000004361023,0.00004931951,0.000115138,0.00006162213,0.0000526477,0.0000407923,0.00000511567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005274126,"about_ca_system_score_gemma":0.00001069948,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4116802,"about_ca_topic_score_gemma":0.9877038,"domain_scores_codex":[0.9996219,0.00001596423,0.0001085567,0.0001164591,0.00003086784,0.0001062237],"domain_scores_gemma":[0.9998706,0.00002109367,0.0000272803,0.00006000555,0.000001428626,0.0000195699],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001093038,0.00002517951,0.9509926,0.000008275657,0.000006137222,0.000003871182,0.00009440558,0.000001414906,3.181952e-7,0.0001130348,0.00258709,0.04615667],"study_design_scores_gemma":[0.0001003958,0.00002188647,0.8473956,0.000001060727,0.000006349539,8.874206e-7,0.00004792396,0.00002063354,4.000127e-7,0.0002649309,0.1520992,0.0000407015],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9843389,0.000006419162,0.000005556518,0.000628804,0.00002441991,0.0002095801,0.000001617366,0.000004560804,0.01478017],"genre_scores_gemma":[0.9931219,0.00005154518,0.0002293294,0.0005394026,0.000004243227,0.0001138287,0.00001673725,0.000002293804,0.005920745],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5760236,"threshold_uncertainty_score":0.9972219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00479791526733134,"score_gpt":0.1612294933122963,"score_spread":0.1564315780449649,"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."}}