{"id":"W2303649199","doi":"","title":"論文紹介：パーキンソン病 基礎論文を読み解く","year":2016,"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":[0.001703541,0.0003142564,0.000184238,0.0008336775,0.001565939,0.004979214,0.0005146094,0.001242195,0.01300121],"category_scores_gemma":[0.001869997,0.000159059,0.000175008,0.000543008,0.00449022,0.002932257,0.0008871551,0.001451702,0.002392752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00351837,"about_ca_system_score_gemma":0.004003289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003304124,"about_ca_topic_score_gemma":0.003097602,"domain_scores_codex":[0.9991799,0.0002057321,0.00003467249,0.0001168964,0.0003507208,0.0001121254],"domain_scores_gemma":[0.99889,0.0003036645,0.0001369779,0.00007216076,0.0004206835,0.0001766076],"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":[0.00002675144,0.00007282177,0.001232102,0.0001786274,0.00002031663,0.0001199545,0.001753498,0.0006901116,0.002181405,0.915729,0.008466806,0.06952851],"study_design_scores_gemma":[0.0000192793,0.0001695811,0.005376767,0.000299926,0.0000376197,0.0004127213,0.007622864,0.001433444,0.005605339,0.5489795,0.4299906,0.00005235371],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.05637056,0.01118451,0.01997164,0.05455808,0.001479418,0.0001004736,0.0001203871,0.00008367711,0.8561313],"genre_scores_gemma":[0.8582944,0.008075202,0.008341873,0.004396736,0.0007061806,0.00007453882,0.00004599269,0.00002479615,0.1200403],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.01300121,"threshold_uncertainty_score":0.04349333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01582649590257975,"score_gpt":0.253217112530854,"score_spread":0.2373906166282743,"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."}}