{"id":"W7133286344","doi":"","title":"Scallop stocks assessment in Quebec coastal waters in 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":"Scallop; Fishing; Shore; Discards; Period (music)","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":[0.0004601828,0.0004793495,0.0002692075,0.001793877,0.001315424,0.001180793,0.0007131511,0.000393812,0.004391534],"category_scores_gemma":[0.0006997358,0.0001967505,0.0004794181,0.003736489,0.0002515803,0.0003586269,0.0005573462,0.0003896391,0.000672126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02486856,"about_ca_system_score_gemma":0.01236964,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9939994,"about_ca_topic_score_gemma":0.9972029,"domain_scores_codex":[0.9997422,0.00001121472,0.00001274263,0.00003432728,0.0001195794,0.00007995861],"domain_scores_gemma":[0.9987325,0.00002652358,0.00009607976,0.00001887369,0.0009629235,0.0001630694],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001917938,0.00006281707,0.9270952,0.0001715018,0.000246932,0.0005008565,0.0006963878,0.001562634,0.001409329,0.0004500692,0.03136962,0.03624276],"study_design_scores_gemma":[0.00001102696,0.00002483238,0.9814188,0.00008275368,0.00003410205,0.00006044938,0.00110037,0.001760706,0.0001863889,0.00002546749,0.01527483,0.00002027606],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8880085,0.003138142,0.0008408701,0.001369951,0.00009006626,0.0002737223,0.07366343,0.0001754513,0.03243976],"genre_scores_gemma":[0.9410941,0.001458616,0.001440722,0.0005069131,0.00001882841,0.0001675826,0.02762051,0.00003429652,0.02765836],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02486856,"threshold_uncertainty_score":0.1804349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008201604491601448,"score_gpt":0.2497847419859348,"score_spread":0.2415831374943333,"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."}}