{"id":"W2726267087","doi":"","title":"第27回日本神経治療学会ランチョンセミナー パーキンソン病の重症度評価；適正な治療効果判定をめざして","year":2009,"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":[0.0008061677,0.0003109172,0.0002312457,0.0006003381,0.001874749,0.002383446,0.0004062984,0.0007135433,0.02611277],"category_scores_gemma":[0.001254978,0.000242089,0.0003818512,0.0003296545,0.003608692,0.00118201,0.0007949864,0.001385568,0.006518502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002168066,"about_ca_system_score_gemma":0.003178851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009460608,"about_ca_topic_score_gemma":0.006225348,"domain_scores_codex":[0.9994248,0.00006579161,0.00002412503,0.000111801,0.0002730495,0.0001004399],"domain_scores_gemma":[0.9993411,0.0001113814,0.00005987152,0.00006628386,0.0003274919,0.00009384556],"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":[0.0001749394,0.0001354483,0.002231241,0.0001882823,0.00004858801,0.00078863,0.002512035,0.001346144,0.02203882,0.8411109,0.02522298,0.104202],"study_design_scores_gemma":[0.00004216143,0.0002820567,0.007142708,0.0001411968,0.00006731514,0.001055553,0.004123256,0.0009892605,0.04632882,0.2413808,0.698348,0.00009882104],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.08086081,0.0039371,0.01326215,0.009146402,0.001282056,0.0001371528,0.0003025129,0.00009770812,0.890974],"genre_scores_gemma":[0.5833147,0.004598563,0.00993741,0.002817864,0.0004425464,0.00009089378,0.0002486608,0.00007154598,0.398478],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.02611277,"threshold_uncertainty_score":0.08735591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01473548641461375,"score_gpt":0.2597194626877566,"score_spread":0.2449839762731428,"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."}}