{"id":"W7144339951","doi":"10.15083/0002003706","title":"新型コロナウイルス感染症に関わる死生観調査（コロナ死生観調査）の結果について","year":2022,"lang":"ja","type":"article","venue":"Institutional Repositories DataBase (IRDB)","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Process (computing); Identification (biology); Product (mathematics)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.005634314,0.000396825,0.0004057313,0.002829915,0.003876403,0.01133431,0.001188534,0.002482474,0.02695838],"category_scores_gemma":[0.01325291,0.0005923827,0.0005500018,0.003781931,0.008778416,0.01374657,0.002065747,0.003689835,0.01284167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003829991,"about_ca_system_score_gemma":0.006151531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01676188,"about_ca_topic_score_gemma":0.02377163,"domain_scores_codex":[0.9958842,0.0009336698,0.0003979961,0.0004685879,0.002087141,0.0002283317],"domain_scores_gemma":[0.990447,0.00530536,0.0006919325,0.0007016562,0.00252605,0.0003280396],"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":[0.00007117923,0.00003699787,0.002076243,0.0002647302,0.00002212339,0.0002371455,0.003950081,0.0002359188,0.0005400665,0.6210781,0.2889967,0.08249063],"study_design_scores_gemma":[0.00001155532,0.00003195285,0.003177774,0.0004128109,0.0000260859,0.000490162,0.003021295,0.0003510032,0.001557076,0.1501083,0.8407594,0.00005255495],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.009423428,0.01615487,0.03224834,0.1207724,0.005694187,0.0001423304,0.002414886,0.0004430695,0.8127065],"genre_scores_gemma":[0.3462524,0.03525294,0.04701453,0.03568462,0.01059395,0.0004185922,0.003374219,0.0008860216,0.5205227],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02695838,"threshold_uncertainty_score":0.09018475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01316781644460991,"score_gpt":0.2252147557028846,"score_spread":0.2120469392582747,"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."}}