{"id":"W7104246900","doi":"10.14286/fh3v7x","title":"Maine Department of Marine Resources Atlantic Halibut Tagging","year":2021,"lang":"en","type":"dataset","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ocean Tracking Network","funders":"","keywords":"Halibut; Marine conservation; Marine fisheries; Resource (disambiguation); Fishing","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":[0.0006674659,0.001113333,0.0007091046,0.002979967,0.000811666,0.00158,0.001461666,0.0007404968,0.05286862],"category_scores_gemma":[0.002897599,0.0003416357,0.0005226942,0.005291281,0.0002749187,0.0009047648,0.001527406,0.000771926,0.06839039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001902631,"about_ca_system_score_gemma":0.002940449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.130441,"about_ca_topic_score_gemma":0.2140303,"domain_scores_codex":[0.9993178,0.00006646385,0.000064386,0.0002304225,0.0002130432,0.0001079898],"domain_scores_gemma":[0.9983015,0.0001879593,0.000173143,0.000377847,0.0008197695,0.0001397288],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005331873,0.00001084288,0.002705935,0.0002529308,0.00001911147,0.00001946456,0.00002853018,0.0001714924,0.0002009353,0.0005475486,0.9911862,0.00480372],"study_design_scores_gemma":[0.00004026512,0.000008687903,0.01265413,0.0001681561,0.00001133646,0.00002343198,0.000103561,0.0002172947,0.0003402247,0.0003954051,0.9860175,0.0000200994],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001723021,0.00002113532,0.00005255804,0.00002678362,0.00001512195,0.000007485689,0.9980045,0.000132807,0.001567271],"genre_scores_gemma":[0.0003833911,0.00002303193,0.0002006114,0.00001943547,0.00000323596,0.00003441899,0.9979908,0.00003727597,0.001307765],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.130441,"threshold_uncertainty_score":0.2593635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03032515512590703,"score_gpt":0.304918415890564,"score_spread":0.274593260764657,"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."}}