{"id":"W4414795699","doi":"10.1158/1055-9965.c.8069376","title":"Data from Modeling Reporting Delay in Cancer Incidence Counts in the Evolving US and Canadian Population–Based Cancer Registry Environment","year":2025,"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":"Cancer incidence; Cancer registry; Incidence (geometry); Cancer; Liver cancer; Estimation","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":[0.007806927,0.0007715994,0.0004926567,0.001486363,0.001198872,0.001439524,0.002461346,0.0008570494,0.002494187],"category_scores_gemma":[0.02351976,0.000543721,0.001244174,0.003436023,0.0005889247,0.0007110454,0.001077685,0.001131756,0.000299684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02920229,"about_ca_system_score_gemma":0.03314817,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9865987,"about_ca_topic_score_gemma":0.9830246,"domain_scores_codex":[0.9977672,0.0006789961,0.000134277,0.0004897304,0.000524074,0.0004057604],"domain_scores_gemma":[0.9887527,0.004643289,0.001195229,0.0006618104,0.004236073,0.000510994],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00030317,0.0001373987,0.3522938,0.0002597462,0.0004090155,0.0002229389,0.0006562911,0.5895363,0.0002843091,0.009376734,0.01607092,0.03044946],"study_design_scores_gemma":[0.0001220116,0.0001009183,0.130498,0.0001077395,0.0002801962,0.00007778971,0.0007274729,0.8525876,0.0004998711,0.002404807,0.01246233,0.0001311882],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.932819,0.0009284956,0.01879048,0.003811151,0.0001285404,0.0004988186,0.03429532,0.0004621945,0.008265954],"genre_scores_gemma":[0.9606227,0.0006431911,0.019662,0.0003046201,0.00003224206,0.0002334438,0.01321241,0.0000668796,0.005222446],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.02920229,"threshold_uncertainty_score":0.2118784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1468724651000443,"score_gpt":0.3868575319080217,"score_spread":0.2399850668079775,"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."}}