{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003103048,0.00113203,0.001136967,0.002217158,0.002251466,0.00797271,0.002533065,0.005451865,0.3044205],"category_scores_gemma":[0.02422262,0.0004451159,0.001142639,0.001223814,0.001491916,0.004328266,0.002497632,0.005919876,0.1653154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002659111,"about_ca_system_score_gemma":0.005571975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00172973,"about_ca_topic_score_gemma":0.002190666,"domain_scores_codex":[0.9956259,0.0006624202,0.0003768171,0.0008834633,0.001948406,0.0005030633],"domain_scores_gemma":[0.9856527,0.002331369,0.0008396211,0.001243153,0.007169895,0.002763228],"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":[0.00002463623,0.000008334866,0.00004496784,0.0001568499,0.00000449472,0.00009426298,0.00002385276,0.00001504397,0.00005779891,0.001463791,0.981324,0.01678205],"study_design_scores_gemma":[0.000008584558,0.000006306971,0.00007970868,0.0001882586,0.000003246869,0.0001335055,0.00003507127,0.00001463782,0.00005664463,0.0007339541,0.9987362,0.000003868054],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0003118862,0.01135344,0.0006041109,0.08339542,0.7908879,0.0001248789,0.001592164,0.000460286,0.1112699],"genre_scores_gemma":[0.00722338,0.01807061,0.00124769,0.07298372,0.450158,0.0002226995,0.003235259,0.0007970494,0.4460617],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.3044205,"threshold_uncertainty_score":0,"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."}}