{"id":"W2735484119","doi":"","title":"肺がん専門医インタビュー（2）：「地方でも最先端のがん治療が受けられる」を目指して","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005100477,0.000456751,0.0005263818,0.0001519131,0.0009270582,0.0001449084,0.001763244,0.0005146769,0.006033131],"category_scores_gemma":[0.0003742822,0.0004640545,0.0001808162,0.00008555428,0.0008599656,0.0005408226,0.0002959422,0.001230734,0.002114089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006209613,"about_ca_system_score_gemma":0.00009260899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001292276,"about_ca_topic_score_gemma":0.00004011771,"domain_scores_codex":[0.9977036,0.00005314583,0.0004896319,0.0004956955,0.0004182379,0.0008397595],"domain_scores_gemma":[0.9977078,0.00009780581,0.0001524108,0.001628325,0.00005415614,0.0003595324],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002820567,0.0006776708,0.007215071,0.002436401,0.002880174,0.004080123,0.006287036,0.0003629753,0.01163662,0.1926711,0.4408466,0.3306243],"study_design_scores_gemma":[0.006611637,0.0003721514,0.01743119,0.0008751373,0.0007339491,0.0003531207,0.00183125,0.03605431,0.0135049,0.04502955,0.8745742,0.002628575],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1085311,0.0262705,0.0008199736,0.01145605,0.01002371,0.0005429658,0.0001433696,0.001611667,0.8406007],"genre_scores_gemma":[0.9907278,0.005003888,0.0006470902,0.0002195133,0.0009794667,0.00003779308,0.00001587318,0.0000666514,0.002301903],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8821967,"threshold_uncertainty_score":0.9997811,"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."}}