{"id":"W2802595724","doi":"10.1186/s40985-018-0083-x","title":"Personalized cancer screening: helping primary care rise to the challenge","year":2018,"lang":"en","type":"article","venue":"Public health reviews","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Swiss Cancer Research Foundation","keywords":"Cancer screening; Medicine; Reimbursement; Family medicine; Cancer; Health care; Population; Colonoscopy; Genetic testing; Personalized medicine; Preventive healthcare; Public health; Nursing; Colorectal cancer; Environmental health; Bioinformatics","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":[0.001954104,0.000184048,0.0005741243,0.0001221393,0.0004495171,0.00004570543,0.0001648962,0.00006475422,0.0002672265],"category_scores_gemma":[0.000338196,0.0001175874,0.0001653953,0.000649441,0.000072965,0.00008844055,0.00007962156,0.0003078507,0.0001352637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006133294,"about_ca_system_score_gemma":0.0005947495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001057504,"about_ca_topic_score_gemma":0.001317286,"domain_scores_codex":[0.9978583,0.0003318283,0.0004801916,0.000418033,0.0003548188,0.0005567944],"domain_scores_gemma":[0.9984087,0.0000407001,0.0002007147,0.0004985036,0.0002823872,0.0005690044],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002078157,0.00001924511,0.0004043926,0.0008326407,0.00001701077,8.227561e-7,0.00541457,1.494443e-7,0.000006616002,0.00002324142,0.02767598,0.9653975],"study_design_scores_gemma":[0.0004997917,0.001322984,0.006338973,0.0008034566,0.00001982252,0.00001739043,0.0003617624,0.00005870837,0.00000741543,0.000001777575,0.9904537,0.0001141796],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.009014798,0.5606179,0.009856295,0.4051568,0.001083505,0.004025587,0.00002122883,0.000268677,0.009955266],"genre_scores_gemma":[0.4712382,0.1860874,0.01407108,0.3020814,0.01627058,0.005220179,0.0001385759,0.000211118,0.004681409],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.9652833,"threshold_uncertainty_score":0.4795076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1757824012940981,"score_gpt":0.4014425874768184,"score_spread":0.2256601861827203,"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."}}