{"id":"W4390038819","doi":"10.1080/07055900.2024.2287318","title":"Ocean Model Development and Application in Fisheries and Oceans Canada","year":2023,"lang":"en","type":"article","venue":"ATMOSPHERE-OCEAN","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Fishery; Oceanography; Environmental science; Geography; Geology; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001843445,0.0001297306,0.000126284,0.000004310726,0.0001436515,0.00004217901,0.0001483923,0.00004923678,0.0002507232],"category_scores_gemma":[0.00002041584,0.0001261232,0.000008735317,0.0003353592,0.0001267819,0.0001572606,0.0003688287,0.0001180233,0.00001415155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001624182,"about_ca_system_score_gemma":0.00008805336,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1490424,"about_ca_topic_score_gemma":0.3711308,"domain_scores_codex":[0.9988311,0.00001831006,0.0001829633,0.0003405948,0.0002913448,0.0003357186],"domain_scores_gemma":[0.9996156,0.00003458545,0.00002880484,0.0001779328,0.000006369467,0.0001367104],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001103081,0.00001221451,0.9324511,0.00001651304,0.00000471456,0.00001349996,0.0007466766,0.001049004,0.00001374739,0.00006962595,0.02078126,0.04483059],"study_design_scores_gemma":[0.0005000508,0.00003462041,0.4896871,0.000007492802,0.000004668148,0.000007141658,0.001362305,0.2185317,0.0001087718,0.0009059283,0.2884221,0.0004281043],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9707046,0.00001240313,0.0000761267,0.0006704486,0.0000154005,0.0001928416,0.000003873827,0.00004062698,0.02828373],"genre_scores_gemma":[0.9924953,0.00008939932,0.0009747091,0.0002279645,0.000009974401,0.000003952431,0.00002139714,0.00001828781,0.006159016],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4427641,"threshold_uncertainty_score":0.8566242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01156865921587035,"score_gpt":0.2095012382577701,"score_spread":0.1979325790418997,"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."}}