{"id":"W2037596101","doi":"10.1007/s11199-008-9441-3","title":"Contextualizing Health Outcomes: Do Effects of Network Structure Differ for Women and Men?","year":2008,"lang":"en","type":"article","venue":"Sex Roles","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":66,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Psychology; Affect (linguistics); Depressive symptoms; Social support; Moderation; Clinical psychology; Social network (sociolinguistics); Multivariate statistics; Multivariate analysis; Developmental psychology; Social psychology; Cognition; Psychiatry; Medicine","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":[0.0003776506,0.0001019384,0.0003908327,0.00002574856,0.0006588985,0.00001986377,0.00009949504,0.00007721816,0.00001949014],"category_scores_gemma":[0.0001774064,0.00008077732,0.00004453147,0.00007313374,0.0001564251,0.00006531793,0.00002649477,0.00006699613,4.191927e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007903647,"about_ca_system_score_gemma":0.0001618649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001063661,"about_ca_topic_score_gemma":0.001334299,"domain_scores_codex":[0.9987317,0.0001461134,0.0002254462,0.0001530215,0.0001857185,0.0005579732],"domain_scores_gemma":[0.9988924,0.0006596926,0.0001080899,0.0001002968,0.00002967091,0.000209884],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000343897,0.0000315538,0.8001067,0.001075151,0.00006329286,0.000002325945,0.1381975,0.00001065826,0.000007224085,0.03580699,0.01065748,0.01400676],"study_design_scores_gemma":[0.001842208,0.0002357258,0.8541492,0.0001818907,0.00001011786,0.000001593328,0.03191127,0.00003065388,0.00003853216,0.01887524,0.09241942,0.0003041821],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913172,0.00350748,0.00009260865,0.003372036,0.0002799117,0.0006429433,0.00002732872,0.0000380684,0.000722389],"genre_scores_gemma":[0.9946967,0.000672809,0.0002273024,0.003020148,0.0002117282,0.00002784306,0.000002528718,0.00001064093,0.001130323],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1062862,"threshold_uncertainty_score":0.5067781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01659964361815513,"score_gpt":0.3211748683926584,"score_spread":0.3045752247745033,"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."}}