{"id":"W7133277119","doi":"","title":"Stock assessment of whelks in Quebec's inshore waters in 2021","year":2022,"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":"Whelk; Fishing; Catch per unit effort; Stock (firearms); Stock assessment; West coast","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":[0.0003546872,0.000377954,0.0002282075,0.001458102,0.001103069,0.000856282,0.0008346126,0.0002947679,0.00403927],"category_scores_gemma":[0.0006360081,0.0001423618,0.0003564424,0.002303649,0.0002602993,0.0003251902,0.0004178514,0.0003570799,0.0006622729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0170833,"about_ca_system_score_gemma":0.007835804,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9917488,"about_ca_topic_score_gemma":0.9967895,"domain_scores_codex":[0.9998007,0.000007988832,0.000007398101,0.00003175801,0.00008349043,0.00006854648],"domain_scores_gemma":[0.9988787,0.00002924788,0.0001136069,0.00002025597,0.0007864764,0.0001716894],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001460972,0.0000362808,0.9674919,0.00008402908,0.00012234,0.0002657469,0.0005783157,0.001461682,0.001438638,0.0002521896,0.00793513,0.02018763],"study_design_scores_gemma":[0.000004790651,0.00002894475,0.9916836,0.00003802742,0.00001660858,0.00003680703,0.0008802513,0.002141008,0.0001750803,0.0000127531,0.00497091,0.00001121178],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9617416,0.00108637,0.0004727546,0.0004323109,0.00003003585,0.0001086734,0.02515637,0.00005493363,0.01091702],"genre_scores_gemma":[0.9740219,0.0005262093,0.0006156556,0.0001390958,0.000006940294,0.00004773733,0.01267548,0.00001262331,0.01195419],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0170833,"threshold_uncertainty_score":0.1239486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00867529020595801,"score_gpt":0.2526377654858368,"score_spread":0.2439624752798788,"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."}}