{"id":"W38851134","doi":"10.1016/j.ijmedinf.2024.105508","title":"広島湾と荻浜湾(石巻湾の枝湾)におけるマガキ養殖場の環境条件の比較(平成17年度日本水産学会論文賞受賞)","year":2006,"lang":"en","type":"article","venue":"日本水産学会誌","topic":"Medical Coding and Health Information","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":[0.006616073,0.0003429256,0.0004303905,0.004508384,0.001241866,0.002093007,0.0009386775,0.0006336095,0.01896039],"category_scores_gemma":[0.01997808,0.0003178877,0.0009888093,0.005596423,0.001065078,0.001699208,0.001560525,0.001018389,0.008297882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00203773,"about_ca_system_score_gemma":0.005016383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02517928,"about_ca_topic_score_gemma":0.03228902,"domain_scores_codex":[0.9948322,0.001126065,0.000768667,0.0008871158,0.00207441,0.0003115152],"domain_scores_gemma":[0.9927384,0.001649363,0.001199903,0.001199111,0.002988997,0.0002242433],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004222748,0.0001613919,0.09000273,0.0006331239,0.0002104235,0.0003599549,0.002476112,0.004083707,0.01144699,0.108965,0.05319372,0.7280446],"study_design_scores_gemma":[0.0001942722,0.0004071059,0.2246719,0.0007484676,0.0004362192,0.003558796,0.006353561,0.0610521,0.03650805,0.2248342,0.4406748,0.0005604894],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2061966,0.001784249,0.6321056,0.003885412,0.001393829,0.001576003,0.02496246,0.003603953,0.1244919],"genre_scores_gemma":[0.3966395,0.0007745561,0.5605069,0.0004748676,0.0002626851,0.0005932948,0.01378644,0.0004929058,0.02646881],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02517928,"threshold_uncertainty_score":0.06342882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3293819523009404,"score_gpt":0.5221697589739739,"score_spread":0.1927878066730335,"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."}}