{"id":"W7133284509","doi":"","title":"Assessment of Scotian Shelf Snow Crab in 2019","year":2023,"lang":"en","type":"other","venue":"Federal Open Science Repository of Canada / Le Dépôt fédéral de science ouverte du Canada","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fishing; Snow; Nova scotia; Carapace; Bycatch; Population","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":[0.000286193,0.0002370709,0.00009910244,0.0005048162,0.000310747,0.0004321661,0.0001817192,0.0001499782,0.001445426],"category_scores_gemma":[0.0004980462,0.000104691,0.0002369561,0.0004858618,0.0001882503,0.0001457012,0.000346905,0.0001766222,0.0003053792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0016348,"about_ca_system_score_gemma":0.001107885,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4210218,"about_ca_topic_score_gemma":0.7419811,"domain_scores_codex":[0.9998523,0.000008423899,0.00001088519,0.00002349496,0.00006253747,0.00004231392],"domain_scores_gemma":[0.9994111,0.00001962095,0.0001557686,0.00001550467,0.0002798873,0.0001181745],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009022869,0.00001213502,0.9902335,0.00005533372,0.00005148308,0.0003703974,0.0002305455,0.0006172798,0.001906018,0.00007866682,0.001107746,0.005246678],"study_design_scores_gemma":[0.000001414903,0.00002115759,0.9976709,0.00001211483,0.000005256405,0.0000496987,0.0002335405,0.0003633057,0.0001201406,0.000009753077,0.00151002,0.000002527813],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926254,0.000316421,0.0001527072,0.00008581375,0.00002402561,0.00001545044,0.003126279,0.00001175354,0.003642244],"genre_scores_gemma":[0.9942274,0.0002331263,0.000152434,0.00005789015,0.00000600363,0.00000996369,0.002717413,0.000004440245,0.002591185],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5789782,"threshold_uncertainty_score":0.8371423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00911084834137185,"score_gpt":0.2599124475462041,"score_spread":0.2508015992048322,"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."}}