{"id":"W2751074132","doi":"","title":"Pediatric Population Reference Value Distributions for Cancer Biomarkers: A CALIPER Study of Healthy Community Children","year":2014,"lang":"en","type":"dissertation","venue":"TSpace (University of Toronto)","topic":"Cancer Risks and Factors","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Hospital for Sick Children; McMaster University","keywords":"Calipers; Medicine; Value (mathematics); Cancer; Population; Pediatric cancer; Statistics; Mathematics; Environmental health; Internal medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.00220385,0.0002610407,0.0004868484,0.001517395,0.0005312337,0.0007749784,0.0006769703,0.0003927218,0.001238971],"category_scores_gemma":[0.005842464,0.0003176453,0.0003480451,0.002777498,0.0003020298,0.0004341344,0.0006184923,0.0005391432,0.0005986003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009407274,"about_ca_system_score_gemma":0.0007592432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02519835,"about_ca_topic_score_gemma":0.01651089,"domain_scores_codex":[0.9982685,0.0004757832,0.0001248175,0.0004540587,0.0005269587,0.0001498968],"domain_scores_gemma":[0.9977394,0.0004860687,0.0005912489,0.0005127697,0.0005440169,0.0001264778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002732588,0.00006815844,0.9827424,0.00002970591,0.00005558327,0.00008044211,0.0006667775,0.000455936,0.0005504938,0.0003900804,0.001294491,0.01339255],"study_design_scores_gemma":[0.00002048256,0.0002183679,0.9946736,0.00001379254,0.00002593969,0.0002609358,0.0004633694,0.0005135704,0.0004108202,0.0001098493,0.003279647,0.000009705162],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878977,0.0005191237,0.003616549,0.0000826043,0.000009330146,0.00008848862,0.005738046,0.00005589958,0.001992299],"genre_scores_gemma":[0.9873295,0.0006149477,0.004854138,0.00007161954,0.00001630359,0.0002059864,0.006057777,0.00003974482,0.0008099521],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02519835,"threshold_uncertainty_score":0.05010337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0321907797675681,"score_gpt":0.3371405151945163,"score_spread":0.3049497354269481,"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."}}