{"id":"W4415961645","doi":"10.1016/s0960-9776(25)00694-0","title":"#MAKEMECOUNT: ADDRESSING THE NEED FOR COMPLETE AND HARMONIZED CANCER DATA IN CANADA","year":2025,"lang":"en","type":"article","venue":"The Breast","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Cancer; MEDLINE; Real world data","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002889446,0.00007241665,0.0001485885,0.00001744598,0.0001456515,0.00002750899,0.0002608433,0.00001528342,0.00002881946],"category_scores_gemma":[0.00004563796,0.00003956042,0.00001263708,0.0001479183,0.0000542793,0.0000503955,0.0001260911,0.0001142231,4.030157e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001830949,"about_ca_system_score_gemma":0.0009861343,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9032627,"about_ca_topic_score_gemma":0.9341959,"domain_scores_codex":[0.9993766,0.00002488831,0.0001296326,0.0001501902,0.0001361433,0.0001825311],"domain_scores_gemma":[0.9993502,0.0001376918,0.00003604675,0.0004008026,0.00004498641,0.00003026018],"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":[0.003833318,0.00004042883,0.3717392,0.0004609006,0.0004410224,0.0000605626,0.00111827,0.0001930172,0.002850272,0.002316974,0.2061461,0.4107999],"study_design_scores_gemma":[0.003999361,0.00002113038,0.8752393,0.001277895,0.0002976994,0.000180538,0.003640105,0.03307928,0.0001011299,0.0004993269,0.08148448,0.0001797867],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8240568,0.01129933,0.0005186538,0.1570533,0.0005073315,0.001476306,0.001368023,0.00002834616,0.003691874],"genre_scores_gemma":[0.9934088,0.00005338639,0.00007651299,0.006087151,0.00008948861,0.00003328445,0.00003183459,0.000005266681,0.0002142788],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5035,"threshold_uncertainty_score":0.174936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2542883361725705,"score_gpt":0.3877710768493374,"score_spread":0.1334827406767669,"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."}}