{"id":"W2004457097","doi":"10.2165/11532250-000000000-00000","title":"Measuring Preferences for Colorectal Cancer Screening","year":2010,"lang":"en","type":"article","venue":"Patient","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":42,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary; Alberta Health Services","funders":"American College of Gastroenterology; American Society for Gastrointestinal Endoscopy","keywords":"Conjoint analysis; Context (archaeology); Population; Test (biology); Preference; Sample (material); MEDLINE; Medicine; Health care; Descriptive statistics; Family medicine; Psychology; Computer science; Statistics; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.00008097122,0.00008118773,0.00012418,0.00005409963,0.00009939403,0.00001456491,0.00003338002,0.00005625301,0.0000809765],"category_scores_gemma":[0.0001261791,0.00006807382,0.00006671089,0.0000881919,0.00002428657,0.00003988919,0.00001854203,0.000165053,0.000003468717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003002555,"about_ca_system_score_gemma":0.00005623364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003025678,"about_ca_topic_score_gemma":0.0007645589,"domain_scores_codex":[0.9993547,0.000007588782,0.000122867,0.0001792197,0.0001710398,0.0001646047],"domain_scores_gemma":[0.9995885,0.00004549048,0.00005281469,0.00008115903,0.0001441148,0.00008793466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.004003468,0.00007499509,0.06928276,0.00006855907,0.00006835771,0.000001810166,0.0008135158,0.00004907476,0.07770804,0.00002774705,0.0004499504,0.8474517],"study_design_scores_gemma":[0.002521803,0.007211214,0.2986962,0.000241515,0.0001639944,0.00004701852,0.0003423278,0.007971079,0.6607473,0.0001922019,0.02146848,0.0003968535],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949489,0.0001175578,0.001671364,0.0001358582,0.0007640445,0.0004242915,0.00001047281,0.00009258246,0.001834977],"genre_scores_gemma":[0.9946733,0.00000500456,0.004578592,0.00007029318,0.0002655788,0.0003302243,0.000006834664,0.00001227026,0.00005788995],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8470549,"threshold_uncertainty_score":0.277597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05516739436294571,"score_gpt":0.2876969328513791,"score_spread":0.2325295384884334,"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."}}