{"id":"W7098745958","doi":"","title":"Capelin Stock Assessment in NAFO Divisions 3NO Based on Data from Trawl Surveys by","year":2007,"lang":"en","type":"article","venue":"","topic":"Berberine and alkaloids research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Capelin; Stock (firearms); Stock assessment; Bycatch; Fishing","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":[0.0002503385,0.0002630223,0.0001302398,0.001819689,0.0003417456,0.0004077439,0.0002377851,0.0001074697,0.001618587],"category_scores_gemma":[0.0009304491,0.0001233253,0.0001698091,0.001386361,0.000131594,0.0002862951,0.0003747908,0.0001243411,0.0002097235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00179183,"about_ca_system_score_gemma":0.0008469002,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.33915,"about_ca_topic_score_gemma":0.6291003,"domain_scores_codex":[0.9998381,0.00001457643,0.00001933072,0.00002788577,0.00006719986,0.00003291994],"domain_scores_gemma":[0.9994528,0.00003632656,0.0002573531,0.00002688036,0.0001627503,0.00006391155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001326328,0.00001157843,0.9817107,0.00003283054,0.00004214488,0.0002203626,0.0004387645,0.0003283983,0.002763181,0.0001075233,0.0006525862,0.01355926],"study_design_scores_gemma":[0.00000294463,0.00001824538,0.9980733,0.00001756078,0.000009901261,0.00006335994,0.0002335077,0.0003759468,0.000236276,0.000009133656,0.0009561055,0.000003557564],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946155,0.000165187,0.0001408001,0.00002762123,0.000003687329,0.00004079935,0.001302488,0.000005575092,0.00369834],"genre_scores_gemma":[0.9929714,0.0002547999,0.001211819,0.00001979215,0.000004582449,0.00005678038,0.002572348,0.00000438532,0.002904167],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.66085,"threshold_uncertainty_score":0.6743519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.104920517900046,"score_gpt":0.4333252865935527,"score_spread":0.3284047686935067,"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."}}