{"id":"W23793581","doi":"10.1007/s00125-013-2968-z","title":"特別対談 曽野綾子vs.藤原正彦 日本が生き残る道","year":2011,"lang":"en","type":"article","venue":"新潮45","topic":"Caveolin-1 and cellular processes","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Political science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006951011,0.0001022889,0.00007956346,0.00001983422,0.00004543428,0.00001033378,0.0001607238,0.0001036496,0.0003569252],"category_scores_gemma":[0.00002564739,0.00009516525,0.00006734466,0.00004998047,0.00004893561,0.000002039802,0.00007424805,0.00005347786,0.0002042644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003532865,"about_ca_system_score_gemma":0.00004198938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003119307,"about_ca_topic_score_gemma":0.00002020324,"domain_scores_codex":[0.9993975,0.00001211717,0.0001062382,0.0002259822,0.00007064141,0.0001875044],"domain_scores_gemma":[0.9995793,0.000002258835,0.00003448362,0.0002685062,0.00004688129,0.00006859754],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00009534896,0.0001517341,0.005703882,0.00004169725,0.00006503161,0.00002163778,0.0002932903,0.00000159724,0.9734964,0.000821804,0.01178076,0.007526814],"study_design_scores_gemma":[0.0002354609,0.000123746,0.001432544,0.000004903872,0.00001355067,0.00001532593,0.00006851418,0.000003903052,0.8243702,0.0004327041,0.1731351,0.0001639941],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8968854,0.00164175,0.001436424,0.0000455582,0.0002415927,0.00008385873,0.000006543359,0.00002729065,0.09963157],"genre_scores_gemma":[0.9904242,0.0001590498,0.0004318032,0.000330599,0.0002334916,0.00001064429,0.0000474661,0.00001818657,0.008344555],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1613544,"threshold_uncertainty_score":0.390808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850550045603335,"score_gpt":0.2045597888124637,"score_spread":0.1860542883564304,"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."}}