{"id":"W7133288724","doi":"","title":"Witch flounder Gulf of St. Lawrence","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":"Witch; Flounder; Fishing; Olive flounder; Stock (firearms)","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":[0.0001549838,0.0003515879,0.0001413325,0.0007606862,0.0007659307,0.0004957384,0.0003010144,0.0001508222,0.01061323],"category_scores_gemma":[0.0003394607,0.000129459,0.0001540559,0.0006588117,0.0001682175,0.0003633134,0.0004358754,0.0001824094,0.003168815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001952686,"about_ca_system_score_gemma":0.002070377,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5601869,"about_ca_topic_score_gemma":0.8086049,"domain_scores_codex":[0.9998578,0.000004278545,0.000006056111,0.00002759288,0.00006843889,0.00003583475],"domain_scores_gemma":[0.9998034,0.000005472994,0.00003189936,0.000006712831,0.0001388286,0.00001362955],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00042825,0.0001732132,0.7165805,0.0001870862,0.00008101402,0.0005398744,0.0007122133,0.002898244,0.005529832,0.002928143,0.0815284,0.1884134],"study_design_scores_gemma":[0.00004555495,0.000249058,0.8673285,0.0001655173,0.00005730105,0.0001948259,0.001491341,0.005379808,0.002505135,0.0003471191,0.1221925,0.00004323586],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8266183,0.0006101174,0.001678203,0.0005296042,0.000125666,0.0001948911,0.02460771,0.000560147,0.1450755],"genre_scores_gemma":[0.8324478,0.0008168345,0.002760579,0.0002910833,0.00003214536,0.0001061863,0.02362944,0.00004489618,0.139871],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4398131,"threshold_uncertainty_score":0.8848066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01046157601721565,"score_gpt":0.2357411879442044,"score_spread":0.2252796119269888,"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."}}