{"id":"W2730912999","doi":"","title":"出生前診断 ２；羊水検査など侵襲的検査について","year":2005,"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":[0.001418761,0.000388429,0.0003275134,0.0007905154,0.002332264,0.002537489,0.0003611102,0.0007155709,0.01817144],"category_scores_gemma":[0.003314561,0.0002830367,0.0003944239,0.000362391,0.004737518,0.001580765,0.001241405,0.001687142,0.007730855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001292856,"about_ca_system_score_gemma":0.002086493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004334522,"about_ca_topic_score_gemma":0.003596495,"domain_scores_codex":[0.9984511,0.0002290631,0.00009204724,0.0002564341,0.000762378,0.0002089583],"domain_scores_gemma":[0.9979551,0.0007745491,0.0001660237,0.0002392109,0.0007383592,0.0001267362],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001590118,0.0001297606,0.002458481,0.0002847665,0.00006076528,0.0008206767,0.002775177,0.0009504856,0.01577259,0.7812499,0.02212286,0.1732156],"study_design_scores_gemma":[0.00005345595,0.000249678,0.01211432,0.0001855742,0.0001112691,0.002349678,0.004099553,0.001662861,0.04150879,0.4885661,0.448994,0.0001048228],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07095452,0.003610107,0.03245689,0.009755603,0.001075064,0.0001392426,0.0004173184,0.0002692543,0.8813219],"genre_scores_gemma":[0.7646537,0.004680849,0.0327187,0.003079976,0.001247843,0.0002594478,0.0004353957,0.0001786336,0.1927455],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01817144,"threshold_uncertainty_score":0.06078947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01511952508600746,"score_gpt":0.2586597855071774,"score_spread":0.2435402604211699,"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."}}