{"id":"W6969463915","doi":"10.5683/sp3/ster2v","title":"Replication Data and Code for: Inequalities in relative cancer survival by race, immigration status, income, and education for 22 cancer sites in Canada, a cohort study","year":2024,"lang":"en","type":"dataset","venue":"Borealis","topic":"Assisted Reproductive Technology and Twin Pregnancy","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Microdata (statistics); Poisson regression; Propensity score matching; Census; Poisson distribution; Replication (statistics); Descriptive statistics; Matching (statistics); Household income; Regression analysis","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00891247,0.001654252,0.001590471,0.005342019,0.004811668,0.003294498,0.003067071,0.001022855,0.2904963],"category_scores_gemma":[0.0779992,0.001398205,0.002472616,0.01394552,0.0009443527,0.001301307,0.002195864,0.002245589,0.07296833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01076698,"about_ca_system_score_gemma":0.0730105,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8166869,"about_ca_topic_score_gemma":0.8522844,"domain_scores_codex":[0.9938083,0.0007627095,0.001020804,0.0007577345,0.002779232,0.0008712355],"domain_scores_gemma":[0.9508333,0.004914338,0.001625821,0.01109437,0.02947565,0.002056515],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002036853,0.00004754218,0.00517396,0.0004584749,0.00005902404,0.00005897003,0.0001755428,0.0001605482,0.0001248632,0.0007478925,0.9789907,0.01379874],"study_design_scores_gemma":[0.002715451,0.0001581531,0.1585801,0.002164839,0.0002820158,0.0003424843,0.0007761573,0.0009467447,0.001104663,0.003040568,0.8296179,0.0002708338],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001387551,0.00008449126,0.002305481,0.0005180779,0.0007094743,0.004024166,0.9822372,0.001016919,0.007716544],"genre_scores_gemma":[0.01797048,0.0005687706,0.0224196,0.0007728551,0.0002480208,0.02856626,0.8792116,0.002286757,0.04795565],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2904963,"threshold_uncertainty_score":0.9718069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03957108087536776,"score_gpt":0.3612690505303877,"score_spread":0.32169796965502,"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."}}