{"id":"W7098223348","doi":"","title":"VARIATION IN WAITING TIMES FROM DIAGNOSIS TO TREATMENT FOR BREAST CANCER PATIENTS IN","year":2016,"lang":"en","type":"article","venue":"","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Breast cancer; Cancer; Stage (stratigraphy); Disease; Cancer registry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006122861,0.0001000075,0.0001376935,0.0006217966,0.000406438,0.0003894714,0.0004138152,0.0001996358,0.001459174],"category_scores_gemma":[0.003601689,0.0001118632,0.0001685354,0.001092834,0.0002362662,0.0001705723,0.0002455626,0.0003216993,0.0001414438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003798037,"about_ca_system_score_gemma":0.002180267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4919117,"about_ca_topic_score_gemma":0.5814216,"domain_scores_codex":[0.9994959,0.00008290331,0.0000367649,0.00009544005,0.0001359183,0.0001529512],"domain_scores_gemma":[0.9983713,0.0005064,0.0005531121,0.0000492359,0.0002078432,0.0003121858],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002475824,0.00002600732,0.990677,0.00001454142,0.00003318446,0.00009391022,0.0005263154,0.0004325398,0.0002536224,0.0001173822,0.0005595568,0.007018268],"study_design_scores_gemma":[0.000005744841,0.0000443668,0.9982534,0.000006304757,0.00001282331,0.00008633239,0.000431514,0.0004680466,0.00006844112,0.0000431941,0.000574561,0.000005275353],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982826,0.0003907565,0.000115967,0.0001246044,0.000008324198,0.000005080494,0.0003630341,0.000007949393,0.0007018203],"genre_scores_gemma":[0.9991448,0.0001030369,0.00008106211,0.00002547975,0.000004688717,0.000003733319,0.0003558141,0.000001937707,0.0002794492],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4919117,"threshold_uncertainty_score":0.9780969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05224418085132266,"score_gpt":0.3347656923739083,"score_spread":0.2825215115225856,"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."}}