{"id":"W4366590562","doi":"10.3332/ecancer.2023.1532","title":"Applying the syndemic framework to cancer research for effective cancer control in low- and middle-income countries","year":2023,"lang":"en","type":"article","venue":"ecancermedicalscience","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Syndemic; Medicine; Psychological intervention; Environmental health; Socioeconomic status; Disadvantaged; Context (archaeology); Social determinants of health; Population; Public health; Economic growth; Psychiatry; Nursing; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004270054,0.0001825185,0.0004209432,0.0002902309,0.0005352238,0.00007917248,0.0004463963,0.000150036,0.00008468275],"category_scores_gemma":[0.002802428,0.0001249064,0.00005583502,0.002530027,0.001030393,0.0001503241,0.0001655302,0.0006763221,0.00003138368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006849396,"about_ca_system_score_gemma":0.0009373658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002288234,"about_ca_topic_score_gemma":0.001509767,"domain_scores_codex":[0.9965032,0.0001303477,0.0003472016,0.0006650928,0.001287204,0.001067005],"domain_scores_gemma":[0.9961978,0.002705098,0.00007104038,0.0003278474,0.0003166809,0.0003814976],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003094458,0.00007307754,0.8133283,0.003044185,0.000161218,0.0002357067,0.01104331,0.003807444,0.003133267,0.006019738,0.01448017,0.1415792],"study_design_scores_gemma":[0.005481509,0.001188392,0.8194586,0.04193512,0.0001304772,0.00005240131,0.004237568,0.03312467,0.001554056,0.009819955,0.08216708,0.0008501909],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9441515,0.005030563,0.002604906,0.03935916,0.0009537989,0.007456955,0.00009791432,0.0001189139,0.0002262404],"genre_scores_gemma":[0.9681156,0.001987679,0.0001657705,0.007572011,0.0005881025,0.02136452,0.000001126325,0.0000200847,0.0001850852],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.140729,"threshold_uncertainty_score":0.5093535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09851900749746144,"score_gpt":0.4580300771481668,"score_spread":0.3595110696507054,"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."}}