{"id":"W3203784833","doi":"10.47626/2237-6089-2021-0350","title":"Understanding and navigating the repercussions of the politically polarized climate in mental health","year":2021,"lang":"en","type":"article","venue":"Trends in Psychiatry and Psychotherapy","topic":"COVID-19 and Mental Health","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Politics; Psychosocial; Mental health; Conversation; Population; Psychology; Polarization (electrochemistry); Political science; Medicine; Psychiatry; Environmental health; Law","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":[0.0006503692,0.0001475966,0.0002427809,0.0000836024,0.0002876442,0.00001896369,0.000122567,0.0000892399,0.0002481791],"category_scores_gemma":[0.000002697475,0.00009328656,0.00006565847,0.0005807977,0.0001704088,0.00003992285,0.00001657273,0.0004646781,7.567875e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000915899,"about_ca_system_score_gemma":0.0001574614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007144901,"about_ca_topic_score_gemma":0.005677789,"domain_scores_codex":[0.9981846,0.0004533337,0.0004670456,0.0003449918,0.0001327146,0.0004172742],"domain_scores_gemma":[0.999281,0.0001337281,0.0001272138,0.0003650066,0.000006093047,0.00008691944],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005685482,0.0006861523,0.5280953,0.0001199352,0.0000471579,0.000003151422,0.03129204,5.074496e-7,0.0005133973,0.4040652,0.0009383818,0.03367024],"study_design_scores_gemma":[0.008890388,0.0004322132,0.882809,0.001197241,0.00001299634,0.0001512988,0.02685929,0.00006420888,0.000021019,0.07458396,0.004655052,0.0003232918],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8434498,0.01065408,0.0001172916,0.1366995,0.002817061,0.0003288788,0.00009682716,0.00002304211,0.005813469],"genre_scores_gemma":[0.9867586,0.004072237,0.0003553293,0.008444434,0.00007451187,0.00001505647,0.000009369211,0.00002026757,0.0002501205],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3547137,"threshold_uncertainty_score":0.3804116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09652482558316638,"score_gpt":0.439643486417967,"score_spread":0.3431186608348006,"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."}}