{"id":"W4233747603","doi":"10.1037/e508992013-085","title":"A portrait of adhesion to pap test screening across Canada","year":2005,"lang":"en","type":"dataset","venue":"PsycEXTRA Dataset","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Portrait; Test (biology); Adhesion; Genealogy; Art history; Art; History; Biology; Chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003444241,0.0004335982,0.000757075,0.0001188073,0.0001264513,0.00003270746,0.0003888592,0.0002948464,0.0006235323],"category_scores_gemma":[0.0004737703,0.0004158272,0.0001174566,0.0004869332,0.0000562906,0.00008264444,0.0002006206,0.0006414186,0.00005903982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000227243,"about_ca_system_score_gemma":0.000699288,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.67722,"about_ca_topic_score_gemma":0.8981321,"domain_scores_codex":[0.9971237,0.00003499012,0.0006933055,0.0007167383,0.0008729126,0.0005583609],"domain_scores_gemma":[0.997583,0.0001818873,0.0003353766,0.00129482,0.0001226622,0.0004822993],"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":[0.001399956,0.0001263438,0.0001236763,0.0002955359,0.00007277029,0.0001448323,0.000009854162,0.000007694592,0.0001336795,7.385692e-8,0.9859982,0.01168742],"study_design_scores_gemma":[0.0008479592,0.001482706,0.002428695,0.0005479316,0.0002209973,0.0002357294,0.00004270843,0.00001648974,0.0006983342,3.950501e-7,0.9930933,0.0003847678],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008203134,0.0004057172,0.00003432328,0.0004754488,0.0003632516,0.0005453557,0.9972968,0.00003563868,0.00002316793],"genre_scores_gemma":[0.001465346,0.00009241262,0.0008896686,0.001559275,0.0007230971,0.00005517628,0.9951167,0.00003553439,0.00006281764],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2209121,"threshold_uncertainty_score":0.9998294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02448561279720258,"score_gpt":0.3249704458239455,"score_spread":0.3004848330267429,"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."}}