{"id":"W4256121630","doi":"10.1007/bf03405142","title":"Waiting Time for Breast Cancer Treatment in Alberta","year":2004,"lang":"en","type":"article","venue":"Canadian Journal of Public Health","topic":"Economic and Financial Impacts of Cancer","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Medicine; Breast cancer; Stage (stratigraphy); Cancer; Cancer stage; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":true,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":true,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009537382,0.0001206028,0.0005004092,0.0005237412,0.0001122403,0.00008812617,0.000175745,0.00007305191,0.0004072996],"category_scores_gemma":[0.0001839524,0.000130891,0.0001233307,0.0001694268,0.00004284657,0.0004178028,0.000003589885,0.0001109688,0.0000547951],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.004588115,"about_ca_system_score_gemma":0.007061973,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.400445,"about_ca_topic_score_gemma":0.5123733,"domain_scores_codex":[0.9982713,0.00001097451,0.0008313931,0.000161477,0.00001667316,0.0007081641],"domain_scores_gemma":[0.9980812,0.00004291202,0.0006079654,0.0001157847,0.00006838279,0.001083776],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003106174,0.0001698656,0.2646132,0.00008222365,0.000188465,0.00003104905,0.007288042,0.001833211,0.000001825917,0.4660868,0.005906704,0.2537675],"study_design_scores_gemma":[0.005261915,0.0006815096,0.2646898,0.000167595,0.000005565657,0.0001527386,0.0003032632,0.0006434366,0.000004603073,0.03113163,0.6964863,0.0004716519],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8006951,0.006758474,0.0008821673,0.1817717,0.001070094,0.0004938835,0.001462464,0.000005503898,0.006860713],"genre_scores_gemma":[0.9961353,0.0003326027,0.0002363246,0.002013086,0.0004473212,0.00001472157,0.000005277295,0.00002381401,0.0007915317],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6905796,"threshold_uncertainty_score":0.9992331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05568883866588951,"score_gpt":0.2661827989706158,"score_spread":0.2104939603047263,"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."}}