{"id":"W7133281773","doi":"","title":"Science Response : Northern shrimp in the Estuary and Gulf of St. Lawrence","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":"Estuary; Fishing; Shrimp; Indigenous; Fisheries management; Stock (firearms); Stock assessment","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":[0.003858641,0.0005178297,0.0004035481,0.001312094,0.003158743,0.00302595,0.001478562,0.005659506,0.01618964],"category_scores_gemma":[0.006888275,0.0003419527,0.000516011,0.001532893,0.001244116,0.001099544,0.002540839,0.003478755,0.004116762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009489056,"about_ca_system_score_gemma":0.0297198,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1784056,"about_ca_topic_score_gemma":0.3804899,"domain_scores_codex":[0.9970566,0.0003538673,0.0001518388,0.000216587,0.001798231,0.0004229425],"domain_scores_gemma":[0.9867817,0.001744975,0.0007725827,0.0003711162,0.00910453,0.00122513],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001148234,0.00004659647,0.002827702,0.0004198417,0.00001943175,0.0005976174,0.0004416723,0.0003250671,0.001505933,0.001522534,0.9605541,0.03162464],"study_design_scores_gemma":[0.000019797,0.00005663821,0.007532,0.0001455807,0.00001269938,0.00007655735,0.0009586623,0.0001118327,0.0005645187,0.0004956431,0.9900053,0.00002067844],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.02373098,0.00778017,0.0009727066,0.8081904,0.03702549,0.0004892737,0.007032743,0.0005930202,0.1141852],"genre_scores_gemma":[0.1167392,0.01873728,0.004340524,0.2539877,0.01416019,0.0004889068,0.009440672,0.0002106678,0.5818948],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8215944,"threshold_uncertainty_score":0.3547344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01090485723120616,"score_gpt":0.2433927439426667,"score_spread":0.2324878867114606,"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."}}