{"id":"W2972935527","doi":"","title":"地域におけるHCV感染治療：～岐阜県での取り組みの現状と課題，展望～","year":2018,"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":"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004532191,0.0004091219,0.0004194436,0.0002041195,0.0002493845,0.00003024259,0.0007079591,0.0004676084,0.01212507],"category_scores_gemma":[0.0001480238,0.0004103193,0.0001286796,0.0004005638,0.0009484316,0.0002466887,0.0001281565,0.0008508873,0.004676671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006605601,"about_ca_system_score_gemma":0.00009306735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005241281,"about_ca_topic_score_gemma":0.00003386114,"domain_scores_codex":[0.9977574,0.00007049779,0.000487334,0.0004663282,0.0003794525,0.0008390283],"domain_scores_gemma":[0.9987733,0.0001163772,0.00005687242,0.0006613769,0.00008335593,0.0003087415],"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":[0.0003097508,0.0004955857,0.001410524,0.001209428,0.00188344,0.0006855928,0.01314235,0.00009691026,0.0353955,0.08925997,0.7347402,0.1213708],"study_design_scores_gemma":[0.002893791,0.0006940119,0.000974017,0.0003576555,0.0003821519,0.0002105365,0.001697581,0.02581951,0.03116295,0.01529392,0.9191342,0.001379661],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.16906,0.02152637,0.001577396,0.004904433,0.009196647,0.000481798,0.00009571639,0.002283703,0.7908739],"genre_scores_gemma":[0.9923152,0.002342078,0.000594595,0.000582632,0.002276699,0.0000295697,0.00001826142,0.00006288323,0.00177802],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8232553,"threshold_uncertainty_score":0.9998349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01772030216248074,"score_gpt":0.2674092177864826,"score_spread":0.2496889156240019,"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."}}