{"id":"W2627344647","doi":"","title":"エビデンスに基づいた特発性肺線維症の診断と治療に関するガイドライン：新たに組み入れられた予後予測因子とKL-6の位置づけ","year":2012,"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":[0.0009084797,0.0002436681,0.0001922336,0.0005025302,0.001174345,0.00145398,0.0003598697,0.0006236641,0.01973363],"category_scores_gemma":[0.001221907,0.0001587382,0.000384582,0.0003450235,0.001461745,0.001145462,0.0005489633,0.001190009,0.004955354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007336544,"about_ca_system_score_gemma":0.001184704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001598823,"about_ca_topic_score_gemma":0.001340694,"domain_scores_codex":[0.999403,0.00009948487,0.00003800877,0.00008826514,0.0002727996,0.00009844012],"domain_scores_gemma":[0.9991848,0.000163466,0.0001070865,0.00005769352,0.0003393602,0.000147576],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001208979,0.0007092629,0.01439638,0.001192633,0.0001526303,0.001531995,0.004040617,0.001797868,0.2017945,0.3184986,0.01972511,0.4349516],"study_design_scores_gemma":[0.000123547,0.001613893,0.02725977,0.0003004564,0.0001550922,0.003282111,0.005097393,0.001641174,0.2978264,0.1131799,0.5493669,0.0001532865],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.3053679,0.01371121,0.02286102,0.00971801,0.002230138,0.0002582918,0.0006281457,0.0002183745,0.645007],"genre_scores_gemma":[0.8443858,0.007307883,0.0181825,0.001847779,0.0007149964,0.0001394285,0.0004045579,0.00006018034,0.1269569],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01973363,"threshold_uncertainty_score":0.0660156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02015347565742347,"score_gpt":0.2656392753610138,"score_spread":0.2454857997035903,"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."}}