{"id":"W2209059361","doi":"10.1089/lgbt.2015.0046","title":"Sociodemographic Differences by Survey Mode in a Respondent-Driven Sampling Study of Transgender People in Ontario, Canada","year":2015,"lang":"en","type":"article","venue":"LGBT Health","topic":"Survey Methodology and Nonresponse","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Canadian Institutes of Health Research","keywords":"Respondent; Transgender; Sampling frame; Survey data collection; Sampling (signal processing); Survey research; Survey methodology; Psychology; Transgender people; Demography; Geography; Medicine; Environmental health; Population; Sociology; Applied psychology; Political science; Statistics; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0300694,0.0001190131,0.0004839268,0.0001947206,0.0001666586,0.000009759661,0.0002843277,0.0001206499,0.00005670202],"category_scores_gemma":[0.002344465,0.0001203593,0.00002613897,0.0007449595,0.00009031563,0.00007616596,0.00002066117,0.0003871567,4.284784e-7],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007417126,"about_ca_system_score_gemma":0.009990328,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9998454,"about_ca_topic_score_gemma":0.9999987,"domain_scores_codex":[0.9661392,0.03188062,0.0005342184,0.0003339253,0.000556406,0.0005556461],"domain_scores_gemma":[0.9938126,0.005528146,0.0001439251,0.0001668031,0.00007095325,0.0002776017],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001125723,0.0002559834,0.8421652,0.000004993348,0.00000869094,0.000002846307,0.1559185,0.0001153936,0.000003886592,0.00001752468,0.000284586,0.00009672688],"study_design_scores_gemma":[0.0008976568,0.0001938502,0.9543048,0.00001212967,0.00000211012,2.015365e-7,0.04417261,0.00002969605,9.819656e-7,0.0001822323,0.0001011998,0.0001025034],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981904,0.0002075888,0.0001006799,0.000626432,0.0002775406,0.0004598688,0.00004015207,0.00001102126,0.0000862894],"genre_scores_gemma":[0.9993947,0.00003883184,0.0001513565,0.0002041307,0.000009769505,0.00002112331,0.00001438037,0.000007432947,0.0001582996],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1121397,"threshold_uncertainty_score":0.9987476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4782817396556724,"score_gpt":0.4785795480147358,"score_spread":0.0002978083590633451,"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."}}