{"id":"W2803851346","doi":"","title":"職域のうつ病：休んで治すか，働きながら治すか","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":"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":[0.00211783,0.0004042019,0.0002924362,0.001065584,0.001943445,0.003961561,0.0004135112,0.0009079276,0.01647405],"category_scores_gemma":[0.003216081,0.0003192584,0.0003103518,0.0006605976,0.002752995,0.001535508,0.0008985247,0.001334103,0.007558929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001808218,"about_ca_system_score_gemma":0.00378855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004784602,"about_ca_topic_score_gemma":0.005763505,"domain_scores_codex":[0.9981911,0.0002340749,0.0001549086,0.0002464256,0.001001748,0.0001717142],"domain_scores_gemma":[0.9974854,0.00061061,0.0002890277,0.0002323899,0.001180782,0.0002017263],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001872593,0.000251724,0.01141199,0.0005225742,0.00009918445,0.0009051951,0.00359342,0.001668144,0.0198025,0.5193751,0.02541577,0.4167671],"study_design_scores_gemma":[0.00004934429,0.000442406,0.02106465,0.0004062309,0.0001587218,0.001843807,0.0052832,0.002409582,0.05221419,0.157135,0.7588588,0.0001339979],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08942628,0.008002935,0.04551734,0.009999668,0.001457321,0.0003058021,0.0003485934,0.0002621283,0.8446799],"genre_scores_gemma":[0.6243609,0.009807013,0.05097621,0.003722445,0.001344704,0.0002370694,0.0003712923,0.0001263756,0.309054],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01647405,"threshold_uncertainty_score":0.05511117,"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."}}