{"id":"W7133271610","doi":"","title":"2024 stock status update of Atlantic Salmon in NL","year":2025,"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":"Fishing; Stock (firearms); Fisheries management; Fish stock; 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":[0.002796396,0.0004559296,0.0003870427,0.006828358,0.001266244,0.001712088,0.001355748,0.0008660285,0.07346182],"category_scores_gemma":[0.006862046,0.0003336491,0.0005077227,0.004274302,0.000212353,0.00107984,0.001351752,0.0008127979,0.06255648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00523826,"about_ca_system_score_gemma":0.01473232,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6488277,"about_ca_topic_score_gemma":0.7165428,"domain_scores_codex":[0.9973168,0.0001239683,0.0001967944,0.0001478077,0.001887391,0.0003273383],"domain_scores_gemma":[0.9788066,0.0003559087,0.0009374804,0.00046487,0.01851492,0.0009203804],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00005869817,0.00002517132,0.006431974,0.0001479522,0.000009971683,0.00003576283,0.00005230751,0.00007776059,0.0001805028,0.0001840841,0.9504704,0.04232534],"study_design_scores_gemma":[0.0000198771,0.00002568777,0.03903228,0.0001548006,0.00001497672,0.00001999012,0.0001403093,0.0001233119,0.0003170993,0.00007635005,0.960053,0.00002238738],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.01269691,0.002060099,0.001457693,0.009254347,0.004442055,0.0008706751,0.6436199,0.003229792,0.3223685],"genre_scores_gemma":[0.02090321,0.002201473,0.005079655,0.004530149,0.0007712527,0.0008242024,0.5621685,0.0008944602,0.4026271],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3511723,"threshold_uncertainty_score":0.7064807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007476425987773197,"score_gpt":0.2398600779086533,"score_spread":0.2323836519208801,"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."}}