{"id":"W2943728761","doi":"10.1016/s2468-2667(19)30062-3","title":"Cancer surveillance, obesity, and potential bias","year":2019,"lang":"en","type":"letter","venue":"The Lancet Public Health","topic":"Cancer Risks and Factors","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University Health Centre","funders":"","keywords":"Medicine; MEDLINE; Environmental health; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.3381141,0.001133814,0.003024125,0.008833091,0.002585936,0.007680532,0.004075523,0.005493704,0.007583824],"category_scores_gemma":[0.6925242,0.001388851,0.003014627,0.01117255,0.007243671,0.009765469,0.007492752,0.006656923,0.00122093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006148821,"about_ca_system_score_gemma":0.01329922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01869429,"about_ca_topic_score_gemma":0.01458807,"domain_scores_codex":[0.5287179,0.3595416,0.05083866,0.02068876,0.035661,0.00455196],"domain_scores_gemma":[0.2823905,0.551808,0.07588381,0.03959747,0.04548321,0.004837117],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00108505,0.0001101509,0.1604604,0.02616821,0.008121845,0.0008384598,0.01024039,0.001766008,0.0001785209,0.09858599,0.2526442,0.4398007],"study_design_scores_gemma":[0.0007537741,0.0005302164,0.07801229,0.09864236,0.004685089,0.003633239,0.006531387,0.009701978,0.001446432,0.3325245,0.4627845,0.0007542912],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.02109724,0.2480169,0.05524426,0.6089698,0.03415885,0.003323842,0.0065468,0.0005151923,0.02212706],"genre_scores_gemma":[0.4422398,0.08561376,0.05952594,0.3479454,0.04211422,0.01213984,0.004221133,0.0006137218,0.005586234],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.661886,"threshold_uncertainty_score":0.8162232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.121693171449217,"score_gpt":0.3511588371706205,"score_spread":0.2294656657214034,"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."}}