{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008149398,0.0002998598,0.0002698512,0.0001440255,0.0002173374,0.0001781469,0.001225232,0.0001056616,0.000813094],"category_scores_gemma":[0.0002585743,0.0003034918,0.0001310768,0.0004054504,0.00008768585,0.0004409617,0.0003146197,0.0004115174,0.001099532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001716886,"about_ca_system_score_gemma":0.0003186072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005806883,"about_ca_topic_score_gemma":0.000001308877,"domain_scores_codex":[0.997239,0.00007826454,0.0004858791,0.0005548062,0.0009478213,0.0006942177],"domain_scores_gemma":[0.9983476,0.0002641974,0.0001149108,0.0005463027,0.0001194434,0.0006075046],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002022672,0.001314123,0.000159427,0.0002503956,0.0003986592,0.0001054368,0.04014677,0.08541237,0.009936854,0.06689652,0.4512589,0.3441003],"study_design_scores_gemma":[0.0004111206,0.00002895694,0.0001452582,0.0001625401,0.00002152408,0.00003624795,0.0000950377,0.5216552,0.002360935,0.0001422244,0.4746143,0.0003266024],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.03319569,0.07632038,0.3273225,0.3527808,0.04044075,0.001141374,0.00002766212,0.001349886,0.167421],"genre_scores_gemma":[0.8942716,0.001957064,0.08908453,0.006164942,0.006837782,0.00003291609,0.000008519072,0.000050467,0.001592203],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8610759,"threshold_uncertainty_score":0.9999417,"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."}}