{"id":"W3778240","doi":"10.22605/rrh2149","title":"Mammography screening: how far is too far?","year":2013,"lang":"en","type":"article","venue":"Rural and Remote Health","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Mammography; Far East; Medicine; Far right; Far side of the Moon; Medical physics; Geography; Political science; Breast cancer; Internal medicine; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001565773,0.0001540263,0.0003116317,0.00008330899,0.0001986203,0.00005436329,0.00006596349,0.00008414363,0.0000894952],"category_scores_gemma":[0.00001525037,0.0001094843,0.00009953064,0.0002258081,0.0000759819,0.0001518665,0.00003946706,0.0002192145,0.00003677301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003431356,"about_ca_system_score_gemma":0.00007443924,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00689683,"about_ca_topic_score_gemma":0.0000449728,"domain_scores_codex":[0.9988235,0.00003018064,0.0001919032,0.0002230014,0.0002826259,0.0004488069],"domain_scores_gemma":[0.9991632,0.0000147942,0.00008426405,0.0001982685,0.00008383617,0.0004557123],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00005567493,0.00001306153,0.01342874,0.0001375939,0.00003489188,0.00001179645,0.0003576074,2.97266e-7,0.0002466029,0.0001434556,0.07059532,0.914975],"study_design_scores_gemma":[0.002104599,0.001707917,0.6105108,0.0007352029,0.00005874773,0.0005763115,0.00382368,0.003127273,0.0002354313,0.001125231,0.3755186,0.0004762629],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7233593,0.01563866,0.003230653,0.2524788,0.0002441924,0.000942249,0.00001447629,0.0001816695,0.003910036],"genre_scores_gemma":[0.9277588,0.005466434,0.01144662,0.05064848,0.0003043243,0.000003057335,0.00002106839,0.00002105397,0.004330178],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9144987,"threshold_uncertainty_score":0.9997163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05439106542482458,"score_gpt":0.3238505592530613,"score_spread":0.2694594938282368,"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."}}