{"id":"W7145667818","doi":"","title":"実務技能教育におけるICTを用いたシミュレーション教育に関する研究","year":2010,"lang":"ja","type":"report","venue":"Institutional Repositories DataBase (IRDB)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Asynchronous communication; Context (archaeology); Class (philosophy); CLIPS; Set (abstract data type); Information and Communications Technology; Qualitative research","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":[0.002387902,0.0003042444,0.0002581445,0.001570871,0.002407504,0.005632922,0.0006211835,0.0007172792,0.0489092],"category_scores_gemma":[0.006719965,0.0002789363,0.0002432303,0.001694688,0.001892234,0.002706357,0.001685012,0.0007647127,0.01325528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002143335,"about_ca_system_score_gemma":0.00328553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008404541,"about_ca_topic_score_gemma":0.01049797,"domain_scores_codex":[0.9972022,0.0006752855,0.0002986539,0.0002576233,0.001225512,0.0003408933],"domain_scores_gemma":[0.9910358,0.003093409,0.0007110044,0.0009527756,0.003354714,0.0008522815],"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":[0.001077499,0.001497131,0.1277961,0.0009902479,0.00004705046,0.004743931,0.02745913,0.001358758,0.0408846,0.136587,0.07979304,0.5777656],"study_design_scores_gemma":[0.00006289594,0.0005842389,0.100781,0.0004092575,0.00005975177,0.004884531,0.02384693,0.003699631,0.07835563,0.01212227,0.7750639,0.0001299692],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3089916,0.0009108426,0.01957598,0.002306575,0.0002918482,0.0004639309,0.001436659,0.0006099228,0.6654126],"genre_scores_gemma":[0.8296592,0.001067758,0.01399034,0.0003291843,0.0001046048,0.0003009212,0.001617677,0.0001662759,0.1527641],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0489092,"threshold_uncertainty_score":0.1636176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03554990808300141,"score_gpt":0.3045253813032773,"score_spread":0.2689754732202759,"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."}}