{"id":"W3207851524","doi":"","title":"Многолетняя динамика запасов угольной рыбы Anoplopoma fimbria в западной части Берингова моря и перспективы их промыслового использования","year":2021,"lang":"ru","type":"article","venue":"Известия ТИНРО (Тихоокеанского научно-исследовательского рыбохозяйственного центра)","topic":"Food Industry and Aquatic Biology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Oceanography; Fishery; Peninsula; Geography; Population; Range (aeronautics); Pacific ocean; Geology; Biology; Archaeology","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":[0.0002104448,0.0002295444,0.0001598746,0.001664842,0.0009387567,0.0009689388,0.0001592871,0.0004250471,0.009107395],"category_scores_gemma":[0.0004113976,0.0002800366,0.0002969336,0.0009828568,0.0006526171,0.0005893087,0.0005090233,0.0005768728,0.002343724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004542867,"about_ca_system_score_gemma":0.000497593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004339074,"about_ca_topic_score_gemma":0.008136857,"domain_scores_codex":[0.9997903,0.0000217458,0.00001274978,0.00005473301,0.00007586645,0.00004462762],"domain_scores_gemma":[0.9998357,0.00003108686,0.00003811571,0.00002236733,0.00005144514,0.00002114564],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002391226,0.00005938923,0.02015488,0.0004325623,0.0000487494,0.003094661,0.002225589,0.0009698328,0.4899541,0.02575402,0.003213629,0.4538535],"study_design_scores_gemma":[0.00003737889,0.0003341115,0.128788,0.0002452299,0.0001615744,0.01115553,0.002262848,0.001280699,0.1479301,0.00862278,0.6990533,0.0001284073],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.74831,0.02503471,0.04822778,0.001369589,0.0005079643,0.0001662494,0.00105359,0.0002576559,0.1750725],"genre_scores_gemma":[0.9141685,0.00957008,0.02640459,0.0001480968,0.0001063777,0.0001063876,0.0004536101,0.00005976965,0.04898255],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009107395,"threshold_uncertainty_score":0.03046721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03816821886473144,"score_gpt":0.2304774618151426,"score_spread":0.1923092429504112,"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."}}