{"id":"W2055283665","doi":"10.1002/ijc.25796","title":"Lung cancer mortality in Sub‐Saharan Africa","year":2010,"lang":"en","type":"letter","venue":"International Journal of Cancer","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Demography; Population; Lung cancer; Incidence (geometry); Mortality rate; Cancer; Medicine; Cancer registry; Estimation; Developing country; Geography; Economic growth; Oncology; Mathematics; Economics","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":[0.0008172086,0.0006164258,0.0004924869,0.003160106,0.0004177737,0.0009980496,0.0005371794,0.00055599,0.002857447],"category_scores_gemma":[0.002521136,0.0001622643,0.0007627106,0.006051831,0.0001896329,0.0009695363,0.00114126,0.0009142979,0.0007931817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001020353,"about_ca_system_score_gemma":0.001830711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02598154,"about_ca_topic_score_gemma":0.02158641,"domain_scores_codex":[0.9994491,0.0001264136,0.00007755611,0.00008067851,0.0001384667,0.0001278624],"domain_scores_gemma":[0.9994306,0.00005380423,0.0001763671,0.00001986107,0.000189178,0.0001301818],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002745033,0.00007153775,0.5384778,0.005030557,0.001153705,0.001468835,0.001111976,0.0007745557,0.0004110953,0.002935929,0.2029119,0.2453777],"study_design_scores_gemma":[0.00006901639,0.0001064586,0.7806752,0.003935035,0.0005078189,0.001602925,0.001534083,0.0005049128,0.0002844233,0.002052691,0.2086828,0.00004467786],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.2128134,0.5211615,0.001787702,0.07291535,0.00914662,0.0003799875,0.1385724,0.0003489976,0.04287406],"genre_scores_gemma":[0.6541035,0.2838416,0.001929349,0.008143977,0.005571332,0.0006950544,0.04186693,0.0000779526,0.003770354],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02598154,"threshold_uncertainty_score":0.05166066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06967465647915705,"score_gpt":0.4119773208967256,"score_spread":0.3423026644175686,"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."}}