{"id":"W2741778127","doi":"","title":"脳画像多施設共同研究：J-ADNI1，J-ADNI2","year":2014,"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":[0.001268023,0.0004434192,0.0003012102,0.0006851733,0.001190297,0.002587012,0.0005726705,0.0009637268,0.01550843],"category_scores_gemma":[0.001907046,0.0001609815,0.0002933275,0.0006148132,0.001043097,0.00125845,0.0006632339,0.001325556,0.005768907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00220566,"about_ca_system_score_gemma":0.002696104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003304251,"about_ca_topic_score_gemma":0.003359312,"domain_scores_codex":[0.9994314,0.0000697464,0.00003591613,0.0001088931,0.0002518313,0.0001022294],"domain_scores_gemma":[0.9985947,0.0001104128,0.0001623659,0.00006702956,0.000764213,0.0003012341],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001216819,0.0004810308,0.01199698,0.001457212,0.0001079777,0.001569413,0.001188492,0.0007702178,0.03662668,0.08846432,0.1321901,0.7239308],"study_design_scores_gemma":[0.00006259157,0.0003659628,0.008815706,0.0003166882,0.0001126154,0.003939508,0.001200742,0.0008384834,0.03386841,0.01529746,0.9351083,0.00007355514],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09932043,0.1037068,0.01788741,0.08807284,0.01747263,0.0002686214,0.0007109086,0.0004305068,0.6721299],"genre_scores_gemma":[0.551111,0.06368937,0.02132346,0.01287964,0.007081622,0.00016112,0.0006436252,0.0001446451,0.3429655],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01550843,"threshold_uncertainty_score":0.0518809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0136316255170371,"score_gpt":0.2485758363974114,"score_spread":0.2349442108803743,"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."}}