{"id":"W7133282279","doi":"","title":"Canary rockfish stock assessment 2022","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":"Fisheries and Oceans Canada","keywords":"Stock assessment; Stock (firearms); Rockfish; Catch per unit effort; Population; Aerial survey","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008189915,0.0006484548,0.0002199601,0.005095492,0.0004640319,0.0006142489,0.001033885,0.0002722548,0.006319384],"category_scores_gemma":[0.001303609,0.0001808971,0.0004398042,0.002834706,0.000136602,0.000520482,0.0007324636,0.0003488737,0.003408676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003221784,"about_ca_system_score_gemma":0.003439138,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3520674,"about_ca_topic_score_gemma":0.5496331,"domain_scores_codex":[0.9991328,0.00002890701,0.00004698076,0.00006606049,0.0006430864,0.00008222992],"domain_scores_gemma":[0.9982902,0.00002881668,0.0001313327,0.000061415,0.001386365,0.0001016885],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004520945,0.0002116484,0.5496877,0.0002815172,0.0003360565,0.0004276709,0.0004491859,0.01143245,0.003893019,0.002532386,0.1093297,0.3209665],"study_design_scores_gemma":[0.00003757371,0.0002234354,0.8394395,0.0001176897,0.00008667537,0.0002247196,0.0006433063,0.01414218,0.002945901,0.000664104,0.1414137,0.00006121687],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5763762,0.001259802,0.005653043,0.0005362688,0.0001629637,0.001703414,0.2095398,0.0009640197,0.2038044],"genre_scores_gemma":[0.614363,0.00101467,0.01090749,0.0002911063,0.00003503226,0.0009489502,0.2904186,0.0001097176,0.08191153],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6479326,"threshold_uncertainty_score":0.7000363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0108340453430979,"score_gpt":0.2589178382848738,"score_spread":0.2480837929417759,"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."}}