{"id":"W4411210937","doi":"10.31076/2024.p14","title":"Weight-based discrimination and the intersection with other forms of discrimination on self-report health outcomes among Canadians: A population-based cross-sectional study","year":2024,"lang":"en","type":"article","venue":"","topic":"Obesity and Health Practices","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Intersection (aeronautics); Cross-sectional study; Population; Computer science; Statistics; Medicine; Mathematics; Environmental health; Engineering; Transport engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002031391,0.0005251582,0.0006839386,0.001603439,0.003647104,0.001483646,0.001420123,0.000759423,0.001893136],"category_scores_gemma":[0.00374236,0.0004847035,0.001155364,0.004745772,0.0008524266,0.0006852366,0.0009195804,0.001106873,0.0001923845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0114376,"about_ca_system_score_gemma":0.01704167,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9732107,"about_ca_topic_score_gemma":0.9827627,"domain_scores_codex":[0.998435,0.0001408866,0.0001104629,0.0002498946,0.000642001,0.000421771],"domain_scores_gemma":[0.9966701,0.0002466325,0.0008001852,0.000174583,0.001352945,0.0007556548],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002337096,0.00003394979,0.9978522,0.00002739559,0.00007873652,0.0000221892,0.0003813864,0.00001752664,0.00004465591,0.00003889486,0.0004047308,0.001075053],"study_design_scores_gemma":[0.000003693464,0.00001639506,0.9989951,0.00002654753,0.00002516252,0.00002589455,0.0004869298,0.00006669469,0.00001256732,0.00001116893,0.0003219338,0.000007854429],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941084,0.0007782957,0.00009949741,0.0003896897,0.00002247532,0.00006233573,0.003208423,0.000005790665,0.00132502],"genre_scores_gemma":[0.9967844,0.0005523465,0.000292891,0.0002610639,0.00001805245,0.00003207752,0.001812263,0.000004235567,0.000242701],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02678931,"threshold_uncertainty_score":0.08298606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04360132041181624,"score_gpt":0.429099636763175,"score_spread":0.3854983163513588,"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."}}