{"id":"W2587872336","doi":"10.1002/aqc.2733","title":"Incidental capture of leatherback sea turtles in fixed fishing gear off Atlantic Canada","year":2017,"lang":"en","type":"article","venue":"Aquatic Conservation Marine and Freshwater Ecosystems","topic":"Turtle Biology and Conservation","field":"Environmental Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bedford Institute of Oceanography; Fisheries and Oceans Canada; CAAN Communities, Alliances & Network","funders":"","keywords":"Fishery; Bycatch; Pelagic zone; Fishing; Sea turtle; Foraging; Geography; Commercial fishing; Oceanography; Turtle (robot); Ecology; Biology; Geology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003310059,0.0002270061,0.0001673897,0.001165702,0.001104525,0.000715929,0.000677407,0.0002370422,0.00183911],"category_scores_gemma":[0.001204647,0.0002123036,0.0002764899,0.001318474,0.0006017485,0.0002819507,0.0008233752,0.0003239296,0.0001812891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005276689,"about_ca_system_score_gemma":0.00413645,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9322274,"about_ca_topic_score_gemma":0.9866583,"domain_scores_codex":[0.9996403,0.0000226439,0.00002560994,0.00007731533,0.0001101685,0.0001239691],"domain_scores_gemma":[0.997817,0.0001474436,0.000905892,0.00008914022,0.0006585126,0.0003819504],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001652822,0.000006417643,0.9973442,0.00001471136,0.00001975049,0.00007958241,0.0002913525,0.00003082076,0.0001655672,0.00000976357,0.0002319679,0.001789313],"study_design_scores_gemma":[6.750674e-7,0.00000723602,0.9988763,0.00001633578,0.000006948653,0.0000432274,0.0007256711,0.00005648097,0.00003602142,0.000005108583,0.0002235667,0.000002342094],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975196,0.000185544,0.00006420165,0.00003602365,0.000005258801,0.00001158858,0.001310903,0.00000430503,0.0008625614],"genre_scores_gemma":[0.9979971,0.000205582,0.00009719457,0.00004297258,0.00000283835,0.000006990325,0.0009745674,0.000002126698,0.0006705697],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06777263,"threshold_uncertainty_score":0.1363435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01072602280995692,"score_gpt":0.1985297045206427,"score_spread":0.1878036817106858,"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."}}