{"id":"W3082114354","doi":"10.1007/s42399-020-00486-8","title":"Avoiding the Banality of Evil in Times of COVID-19: Thinking Differently with a Biopsychosocial Perspective for Future Health and Social Policies Development","year":2020,"lang":"en","type":"article","venue":"SN Comprehensive Clinical Medicine","topic":"Disaster Response and Management","field":"Health Professions","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; McMaster University Medical Centre","funders":"Università Cattolica del Sacro Cuore","keywords":"Biopsychosocial model; Vulnerability (computing); Health care; Pandemic; Public relations; Psychology; Health equity; Health policy; Sociology; Political science; Economic growth; Medicine; Coronavirus disease 2019 (COVID-19); Disease; Psychotherapist; Computer security; Economics; Infectious disease (medical specialty); Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001569378,0.0001574299,0.0008168509,0.00007244311,0.0005923546,0.000002808437,0.0001889834,0.00009442359,0.00005044312],"category_scores_gemma":[0.001385782,0.00009063298,0.00006612334,0.0002383008,0.0004976335,0.00002631003,0.0001731105,0.0005651438,8.44741e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001113655,"about_ca_system_score_gemma":0.0007586607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003806477,"about_ca_topic_score_gemma":0.0003655764,"domain_scores_codex":[0.996514,0.001563308,0.001031256,0.0002983178,0.0003090789,0.000283989],"domain_scores_gemma":[0.9950764,0.003657069,0.0006421623,0.0001193782,0.0002879831,0.0002170329],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.005068065,0.000187243,0.02264423,0.002533052,0.0003501833,0.000003309868,0.8523904,0.00000157211,0.00002677457,0.09773961,0.01428728,0.004768271],"study_design_scores_gemma":[0.005912697,0.001322076,0.08247419,0.0007929611,0.00006551726,4.615598e-7,0.8358355,0.00002958066,0.000002437398,0.005193213,0.06824293,0.0001284269],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5345005,0.001559002,0.002598383,0.4574787,0.0003618524,0.002389478,0.00003723612,0.00003236347,0.00104241],"genre_scores_gemma":[0.9410451,0.0002972822,0.0003618434,0.05732335,0.0008188591,0.00006928068,0.00001662839,0.00001507162,0.00005255368],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4065446,"threshold_uncertainty_score":0.4555973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2630711209391419,"score_gpt":0.5281793878831521,"score_spread":0.2651082669440102,"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."}}