{"id":"W2611400581","doi":"","title":"肺がん専門医インタビュー（1）：新しい治療に肺がん治療医はどのように対応すべきか","year":2017,"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":[0.0008869446,0.000239162,0.0001994741,0.0006937317,0.001699978,0.002293477,0.0003845438,0.0006882462,0.01533334],"category_scores_gemma":[0.001525298,0.0001469968,0.0002491121,0.0004402387,0.002378861,0.001369566,0.0007012132,0.001011444,0.003663004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001955723,"about_ca_system_score_gemma":0.002682841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004598866,"about_ca_topic_score_gemma":0.003787197,"domain_scores_codex":[0.9993271,0.0001190585,0.00003124279,0.0001275773,0.0003011545,0.00009391837],"domain_scores_gemma":[0.9988612,0.0002304735,0.0001405139,0.00009079619,0.0005381767,0.0001388825],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001477083,0.0002182125,0.009091478,0.0003468258,0.00004912533,0.0006647446,0.003085706,0.001345627,0.01943981,0.7146986,0.01852296,0.2323893],"study_design_scores_gemma":[0.00003192404,0.0004640805,0.02303745,0.0002246821,0.00009710239,0.001752517,0.005971843,0.002336622,0.05150445,0.2885943,0.6258633,0.0001217778],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1420341,0.005641631,0.03261794,0.01135204,0.001266278,0.0002144329,0.0003703185,0.000241955,0.8062612],"genre_scores_gemma":[0.7606056,0.003660693,0.01757542,0.001853607,0.0005996739,0.0001151933,0.0001873522,0.00004780715,0.2153547],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01533334,"threshold_uncertainty_score":0.05129516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02388063563345101,"score_gpt":0.2831049655504125,"score_spread":0.2592243299169615,"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."}}