{"id":"W7044753947","doi":"","title":"看護学生・看護師のための集中医療英語研修（カナダ・マギル大学）報告 　―プログラム開発，実施，評価，改善―","year":2016,"lang":"ja","type":"article","venue":"SLIU Repository","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006888444,0.0005283703,0.0004629024,0.001429826,0.004609988,0.007637731,0.0009262603,0.001888439,0.01000819],"category_scores_gemma":[0.01373276,0.0005098765,0.000612242,0.001072497,0.01089924,0.008461235,0.002704459,0.002988382,0.002129949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006314125,"about_ca_system_score_gemma":0.01180168,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01261066,"about_ca_topic_score_gemma":0.01067845,"domain_scores_codex":[0.9943506,0.00222123,0.0003842176,0.001205813,0.001463568,0.0003746192],"domain_scores_gemma":[0.9923947,0.003754935,0.0008446606,0.0004997114,0.001950789,0.0005551386],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00004701654,0.00005552867,0.004353807,0.0001136736,0.00004941517,0.0001894178,0.008407079,0.0009377415,0.000794966,0.9349859,0.006276296,0.04378927],"study_design_scores_gemma":[0.00004850692,0.0001217635,0.007745632,0.0004045404,0.000101929,0.0003062295,0.01547385,0.003229562,0.003667653,0.7979385,0.1708544,0.0001073681],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09006026,0.003577243,0.05765066,0.02344772,0.0007971593,0.0002759047,0.0002440988,0.0001535637,0.8237934],"genre_scores_gemma":[0.868342,0.00255292,0.03838861,0.004401928,0.0004175148,0.0004444723,0.0001478365,0.00008991834,0.08521484],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9873893,"threshold_uncertainty_score":0.04581243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005647388091627167,"score_gpt":0.1863690441243781,"score_spread":0.180721656032751,"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."}}