{"id":"W3115425637","doi":"","title":"アルツハイマー病診断・治療の新しい展開 治療薬開発 タウ病理の阻害薬","year":2006,"lang":"ja","type":"article","venue":"Pharma Medica","topic":"Military Technology and Strategies","field":"Engineering","cited_by":1,"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000358596,0.0004240868,0.0004431792,0.0002082668,0.0001857639,0.0000311128,0.0005633126,0.0004645894,0.005590634],"category_scores_gemma":[0.00006002211,0.0004360917,0.0001535068,0.000362588,0.0003750359,0.0002251545,0.00008633326,0.0009735249,0.001542452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000777701,"about_ca_system_score_gemma":0.00007537321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002593273,"about_ca_topic_score_gemma":0.00005050606,"domain_scores_codex":[0.9977189,0.00006544543,0.0005701005,0.0004294417,0.0004090321,0.0008070844],"domain_scores_gemma":[0.9990595,0.0001324976,0.00006226751,0.0005110351,0.00004411006,0.0001905958],"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":[0.000093179,0.0004739004,0.001843618,0.001049365,0.0005883739,0.001297789,0.001062899,0.002052949,0.01513878,0.07521938,0.8786665,0.02251323],"study_design_scores_gemma":[0.004531397,0.0002883301,0.005966252,0.0004367747,0.0005494522,0.0002927753,0.001176138,0.03483861,0.02218046,0.06024102,0.8673389,0.002159863],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1324548,0.05694654,0.001510878,0.005307274,0.004706709,0.0005049768,0.0001191827,0.002416433,0.7960332],"genre_scores_gemma":[0.9928635,0.002239185,0.0005552766,0.0002257306,0.001214894,0.00003689019,0.00005733891,0.00006307573,0.002744085],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8604087,"threshold_uncertainty_score":0.9998091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01156588935498763,"score_gpt":0.2422935870358271,"score_spread":0.2307276976808394,"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."}}