{"id":"W2345356515","doi":"10.2427/18993","title":"Editorial","year":2022,"lang":"en","type":"article","venue":"Riviste UNIMI (Università degli studi di Milano)","topic":"Health, Environment, Cognitive Aging","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Personalized medicine; Attendance; Medicine; Identification (biology); Sociotechnical system; Health care; Marie curie; Multidisciplinary approach; Medical education; Knowledge management; Political science; Business; Bioinformatics; Computer science; European union","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005548925,0.0002637562,0.0002601948,0.0001115981,0.001619584,0.00002426508,0.0006417702,0.00006907922,0.005480673],"category_scores_gemma":[0.00004093757,0.0003215066,0.0001186703,0.0005985764,0.0002748288,0.0003297172,0.001916219,0.0005565902,0.0009786559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001468842,"about_ca_system_score_gemma":0.00004449773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006274037,"about_ca_topic_score_gemma":0.0001469351,"domain_scores_codex":[0.996919,0.0003354644,0.0002050218,0.0008184833,0.001052327,0.0006696771],"domain_scores_gemma":[0.9989136,0.0001365377,0.0001489826,0.0005305636,0.00001109548,0.0002592604],"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":[0.0002641486,0.0009575104,0.231419,0.00003155988,0.0002153182,0.0005072946,0.008407745,0.006138806,0.004951498,0.0008520691,0.7269896,0.01926543],"study_design_scores_gemma":[0.001225198,0.0002374605,0.08600678,0.000006102706,0.00006270655,0.0000122288,0.004250583,0.0003993757,0.00004761072,0.0001252351,0.9071843,0.0004424001],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8469079,0.00008882149,0.0006273235,0.001206769,0.01855791,0.0008633116,0.0001180362,0.0002263832,0.1314036],"genre_scores_gemma":[0.9888108,0.00006549292,0.0002733846,0.0007863473,0.002945674,0.00002655487,0.00004600017,0.00004838522,0.006997313],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1801947,"threshold_uncertainty_score":0.9999237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009651249566603895,"score_gpt":0.2079915311501556,"score_spread":0.1983402815835517,"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."}}