{"id":"W3173553071","doi":"","title":"COPD2005-現状と展望 画像と肺機能からみたCOPD診断への途","year":2005,"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":"COPD; Medicine; Computer science; Internal medicine","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":[0.003064951,0.0004228389,0.0003251834,0.0009727533,0.0007314065,0.002313059,0.001026968,0.003827869,0.01100907],"category_scores_gemma":[0.002761041,0.0002031031,0.0008746661,0.0006855517,0.0004250832,0.0007266028,0.001001421,0.002078135,0.004087025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00430384,"about_ca_system_score_gemma":0.01077711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02850953,"about_ca_topic_score_gemma":0.03810219,"domain_scores_codex":[0.9990289,0.0001090411,0.0001083943,0.00007738899,0.0004589827,0.0002173147],"domain_scores_gemma":[0.9981248,0.0001517503,0.0001286522,0.00006067329,0.0008964773,0.0006377682],"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":[0.001245668,0.0009012037,0.01297327,0.0009770236,0.0001334051,0.000540534,0.0002193028,0.0007020119,0.005101564,0.0156087,0.6550667,0.3065307],"study_design_scores_gemma":[0.0001224981,0.0004067085,0.02709227,0.0003079308,0.00007309068,0.0004599187,0.00008683897,0.000302539,0.002886107,0.0009433832,0.9672985,0.00002019613],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06194735,0.08465797,0.004426325,0.2558218,0.05029526,0.001389355,0.01624108,0.0005257276,0.5246952],"genre_scores_gemma":[0.2629043,0.02779871,0.01177504,0.1231614,0.01683836,0.0006921016,0.02983554,0.0003123547,0.5266821],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02850953,"threshold_uncertainty_score":0.05668718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01482487234254982,"score_gpt":0.2592071524539816,"score_spread":0.2443822801114318,"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."}}