{"id":"W2724363262","doi":"","title":"プライマリケア医に習熟してほしいうつ・不安の治療のポイント（その2）","year":2007,"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":[0.001160929,0.0004258342,0.0004362386,0.0002913701,0.0001882645,0.00002290583,0.0006341309,0.0005467429,0.005528688],"category_scores_gemma":[0.0001500795,0.0004395957,0.0001542824,0.0004745828,0.0004152187,0.0002254945,0.0001055562,0.001280667,0.001551904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001059735,"about_ca_system_score_gemma":0.00007183768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005295076,"about_ca_topic_score_gemma":0.00004496023,"domain_scores_codex":[0.9973561,0.00004358384,0.00064323,0.0004307163,0.0004589124,0.001067431],"domain_scores_gemma":[0.9986948,0.0002440803,0.00006400596,0.0005373798,0.00004931894,0.0004104267],"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":[0.0005806035,0.001035835,0.005307023,0.00270404,0.002617983,0.006157189,0.01398089,0.0007287047,0.04101205,0.1239756,0.3853835,0.4165167],"study_design_scores_gemma":[0.005109787,0.0004586193,0.008026345,0.0005705067,0.0005625552,0.0005106077,0.006207265,0.01245265,0.04290396,0.01656459,0.9041873,0.002445881],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2233998,0.04739604,0.006842456,0.003248117,0.008150824,0.000580655,0.00006879432,0.002567075,0.7077462],"genre_scores_gemma":[0.9932678,0.003162093,0.0008494913,0.00043425,0.0009539702,0.00001252573,0.00002467013,0.00006407644,0.001231108],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.769868,"threshold_uncertainty_score":0.9998056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01614283244887213,"score_gpt":0.2689159449684661,"score_spread":0.2527731125195939,"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."}}