{"id":"W2595211705","doi":"","title":"麻薬性鎮痛薬に対する負のイメージの軽減を目的とした，動画教材の作成とその有効性の検討（研究）","year":2011,"lang":"ja","type":"article","venue":"Pharma Medica","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science","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":[0.001065697,0.0002297837,0.0002154476,0.0006167117,0.001721969,0.002329774,0.0003771443,0.0008217448,0.01414679],"category_scores_gemma":[0.002153503,0.000217964,0.0002570354,0.0003622081,0.003183803,0.001428658,0.0006360363,0.001143195,0.004111758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001508398,"about_ca_system_score_gemma":0.002226568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004493685,"about_ca_topic_score_gemma":0.003491991,"domain_scores_codex":[0.9992207,0.0001092223,0.00004449119,0.0001567432,0.0003808581,0.00008791665],"domain_scores_gemma":[0.9984952,0.0003958109,0.0001664494,0.0001425572,0.0006236162,0.0001763549],"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":[0.0003228661,0.0003118246,0.01064868,0.0005519588,0.00009902431,0.0009401219,0.004999936,0.001852264,0.06271949,0.5807688,0.02073194,0.3160532],"study_design_scores_gemma":[0.00007092559,0.0007027616,0.02858824,0.0002683087,0.0001715926,0.002390054,0.00725558,0.00266374,0.1510644,0.2326093,0.5740456,0.000169415],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1744538,0.007698469,0.04423057,0.01028031,0.001529819,0.0002017706,0.0003357467,0.0002710357,0.7609985],"genre_scores_gemma":[0.8058476,0.004233734,0.0195591,0.002176396,0.0006675319,0.00009547869,0.0001573467,0.00006732863,0.1671955],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01414679,"threshold_uncertainty_score":0.04732579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03041070002375282,"score_gpt":0.251507951290536,"score_spread":0.2210972512667832,"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."}}