{"id":"W2768312849","doi":"","title":"VALUE Expert Meeting（Akita）VALUE試験からの考察","year":2005,"lang":"ja","type":"article","venue":"Pharma Medica","topic":"Educational Robotics and Engineering","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Value (mathematics); Mathematics; Statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.003146339,0.0003112573,0.0003699986,0.0006965336,0.001820001,0.003067573,0.0006789416,0.00297187,0.0601504],"category_scores_gemma":[0.006221935,0.0002733383,0.0003430983,0.0005005775,0.0007068904,0.001283348,0.001269996,0.002334432,0.01073409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002106404,"about_ca_system_score_gemma":0.005630783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001684155,"about_ca_topic_score_gemma":0.004903227,"domain_scores_codex":[0.9976947,0.0003003221,0.0001170908,0.0001850584,0.001336655,0.0003662239],"domain_scores_gemma":[0.9896416,0.001026973,0.0003361344,0.0004099805,0.005555985,0.003029332],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001548314,0.0001117727,0.001750267,0.000186683,0.00002368362,0.0004820714,0.0001731529,0.0001510541,0.003260297,0.01534743,0.7979096,0.1804493],"study_design_scores_gemma":[0.00001863575,0.00003685729,0.001707188,0.00004956939,0.00001352678,0.0003280328,0.0001279185,0.0002093999,0.001180477,0.002965128,0.9933494,0.00001400552],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.02198028,0.009785071,0.01042705,0.2980304,0.05056616,0.0002856362,0.0005281724,0.0003929722,0.6080043],"genre_scores_gemma":[0.1025347,0.005437503,0.007927929,0.02703429,0.01682149,0.0001069098,0.0004380014,0.0001663618,0.8395329],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.0601504,"threshold_uncertainty_score":0.2012231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02942236744243702,"score_gpt":0.3067041288878286,"score_spread":0.2772817614453916,"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."}}