{"id":"W2262975030","doi":"","title":"第26回日本神経治療学会総会ランチョンセミナー パーキンソン病の治療戦略；患者の視点に立って","year":2008,"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":"Political 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":[0.0003208385,0.0005034296,0.0005662024,0.0002534402,0.0003692207,0.00001491336,0.000743201,0.0005210651,0.006451815],"category_scores_gemma":[0.0001650932,0.0005156057,0.0001944873,0.0004693593,0.0007610999,0.0002988593,0.0001273626,0.001313091,0.002328565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009062374,"about_ca_system_score_gemma":0.000153725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006709249,"about_ca_topic_score_gemma":0.000008932975,"domain_scores_codex":[0.9973521,0.00008309374,0.0006138011,0.0005090107,0.0005186595,0.0009233133],"domain_scores_gemma":[0.9986411,0.0001554825,0.00006891554,0.0006769817,0.00006997045,0.000387559],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001688337,0.0005649269,0.002716479,0.001028736,0.001410409,0.005453646,0.009460106,0.001025832,0.007897963,0.02087826,0.921083,0.02831183],"study_design_scores_gemma":[0.003823647,0.0003459677,0.00334833,0.0003177164,0.000327889,0.001759,0.00147472,0.02160897,0.009137948,0.005587824,0.950501,0.001766959],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2630194,0.06045617,0.001053453,0.008969218,0.006992301,0.0007270277,0.0001284075,0.00338153,0.6552725],"genre_scores_gemma":[0.9777659,0.01691142,0.000635487,0.0005756177,0.0008071901,0.0000437419,0.00003354317,0.00006333102,0.003163763],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7147465,"threshold_uncertainty_score":0.9997296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02199174474513095,"score_gpt":0.2525828626005497,"score_spread":0.2305911178554187,"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."}}