{"id":"W4389515207","doi":"10.1101/2023.12.08.23299730","title":"Larger social networks may increase stigma against vocal illness: An integrated empirical and computational study of deciphering help-seeking behaviors and vocal stigma","year":2023,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Voice and Speech Disorders","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre; Centre for Research on Brain Language and Music; McGill University","funders":"Social Sciences and Humanities Research Council of Canada; Canadian Institutes of Health Research; Alliance de recherche numérique du Canada","keywords":"Stigma (botany); Psychology; Population; Social psychology; Empirical research; Social network (sociolinguistics); Social stigma; Developmental psychology; Social media; Computer science; Medicine; Psychiatry; World Wide Web","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009623191,0.0004856557,0.001040772,0.0002305307,0.0003402175,0.000142012,0.0002928404,0.0004998423,0.00002940789],"category_scores_gemma":[0.0002126217,0.0004439138,0.0001312995,0.0003685236,0.0003124217,0.0001223333,0.001030003,0.001201524,0.000002060894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007929227,"about_ca_system_score_gemma":0.0002837021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001232662,"about_ca_topic_score_gemma":0.001242801,"domain_scores_codex":[0.9969145,0.0003356446,0.0007659773,0.0009267459,0.0006225756,0.000434539],"domain_scores_gemma":[0.9985417,0.0002389963,0.0002693047,0.0003396544,0.0002544029,0.0003559679],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004317675,0.001380039,0.9674548,0.0002329698,0.0003383605,0.0003157034,0.005750283,0.004587564,0.00007253494,0.00001049958,0.0004088611,0.01901663],"study_design_scores_gemma":[0.003410074,0.0004290223,0.9023121,0.0004209161,0.0004811479,0.00001949117,0.01213481,0.08006862,0.000006812605,0.00009929702,0.0001334782,0.0004842196],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924132,0.0001919676,0.005302721,0.0004102224,0.0003007254,0.001142977,0.00005411902,0.0001511016,0.00003294809],"genre_scores_gemma":[0.9975945,0.00007303822,0.0009776519,0.000269335,0.0002983505,0.00009829037,0.000532864,0.0001003219,0.00005564449],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07548105,"threshold_uncertainty_score":0.9998013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05139885909292528,"score_gpt":0.347364767269413,"score_spread":0.2959659081764877,"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."}}