{"id":"W2105966656","doi":"10.1007/bf03405142","title":"Waiting time for breast cancer treatment in Alberta.","year":2004,"lang":"en","type":"article","venue":"PubMed","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Medicine; Breast cancer; Stage (stratigraphy); Cancer; Cancer stage; Demography; Internal medicine","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":[0.0003297485,0.0001325911,0.0001142814,0.000833815,0.0005066275,0.0003746545,0.0006120478,0.0002087839,0.002904106],"category_scores_gemma":[0.001452166,0.0001110991,0.0001633559,0.002182377,0.0002681357,0.000176179,0.0002655473,0.0003336927,0.0001775466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00943383,"about_ca_system_score_gemma":0.009270128,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.925842,"about_ca_topic_score_gemma":0.9252015,"domain_scores_codex":[0.9997354,0.00002386138,0.00001251585,0.00003168847,0.00009885299,0.00009771204],"domain_scores_gemma":[0.9991203,0.0001455576,0.0003253311,0.00001402635,0.0001691048,0.0002256845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002825494,0.00004593845,0.9651845,0.0002014468,0.00003619182,0.0002838215,0.0004812758,0.0003794566,0.0002160615,0.0002047048,0.005560817,0.02712324],"study_design_scores_gemma":[0.00001610131,0.00005471181,0.9955979,0.00006025702,0.00003366402,0.0001696504,0.0008060782,0.0003953096,0.00007333967,0.00005962883,0.0027271,0.000006270105],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9797977,0.005283419,0.0001513232,0.001474046,0.0000470837,0.00003437419,0.00744016,0.00003015795,0.00574179],"genre_scores_gemma":[0.9925495,0.001779394,0.0002472028,0.0002600743,0.00002170326,0.00001829809,0.003523746,0.000004297944,0.001595813],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07415801,"threshold_uncertainty_score":0.1491894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05534147990375404,"score_gpt":0.3024575954404603,"score_spread":0.2471161155367063,"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."}}