{"id":"W4206031663","doi":"10.1002/jwmg.22172","title":"Do hunters target auxiliary markers? An example using black brant","year":2022,"lang":"en","type":"article","venue":"Journal of Wildlife Management","topic":"Avian ecology and behavior","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Fish and Wildlife Service","keywords":"Colored; Biology; Ecology; Mark and recapture; Affect (linguistics); Coat; Demography; Zoology; Geography; Population; Communication; Psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003535755,0.0003611818,0.0003879753,0.0008480335,0.001273538,0.0008833985,0.0006380146,0.0007289262,0.002158098],"category_scores_gemma":[0.007324234,0.0002290957,0.0002813624,0.0009305275,0.001413981,0.0009702293,0.0009917633,0.0006605085,0.0002710076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004553669,"about_ca_system_score_gemma":0.0002139096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01452606,"about_ca_topic_score_gemma":0.03545384,"domain_scores_codex":[0.9988086,0.0007299738,0.00003416368,0.0001917473,0.00010656,0.0001289663],"domain_scores_gemma":[0.9954115,0.002214401,0.001078918,0.0007043061,0.0003643053,0.0002266886],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006073149,0.0002306857,0.8863883,0.0001446027,0.0002575966,0.00444742,0.02701464,0.002012494,0.004007801,0.003581096,0.00216355,0.06914465],"study_design_scores_gemma":[0.00003212651,0.000608578,0.9173018,0.0003387434,0.0002232435,0.004431128,0.0353461,0.01516393,0.002999233,0.006581932,0.01685953,0.0001136663],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942805,0.0002202502,0.002189844,0.0005462537,0.00001798867,0.00001169427,0.00004092287,0.00001412022,0.002678376],"genre_scores_gemma":[0.9976342,0.0001371238,0.001550577,0.00008518946,0.000008481643,0.000006227,0.00002689393,0.000005998249,0.000545432],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01452606,"threshold_uncertainty_score":0.02888304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0283900251657623,"score_gpt":0.2526064996602769,"score_spread":0.2242164744945146,"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."}}