{"id":"W2604967843","doi":"10.2196/publichealth.7015","title":"Using Google Trends Data to Study Public Interest in Breast Cancer Screening in Brazil: Why Not a Pink February?","year":2017,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Cancer Research","funders":"","keywords":"Christian ministry; Breast cancer; Public health; Environmental health; Public interest; Identification (biology); Internet privacy; Medicine; Cancer; Computer science; Political science; Biology; Pathology; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003348267,0.0004045583,0.00109891,0.0008592951,0.0004277829,0.0005397015,0.001174744,0.000119631,0.0001436726],"category_scores_gemma":[0.0009296928,0.0003904337,0.00005329352,0.0009928404,0.0001529929,0.001210449,0.001259182,0.0005627245,0.00000960958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003644506,"about_ca_system_score_gemma":0.001416695,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01563228,"about_ca_topic_score_gemma":0.1100349,"domain_scores_codex":[0.9952484,0.000582961,0.0009541709,0.001356633,0.0004797969,0.001378047],"domain_scores_gemma":[0.9947913,0.000123335,0.0004240024,0.002790537,0.0001818868,0.001688885],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003270319,0.0004875603,0.8265551,0.0001311141,0.00003930056,0.00009802324,0.0003602868,0.000001759911,0.00001355736,0.00002148747,0.004670536,0.1672942],"study_design_scores_gemma":[0.004020005,0.0001790589,0.9680434,0.0001638253,0.000001550018,0.00005860896,0.0003886695,0.003270501,1.613424e-7,0.000002511435,0.02352755,0.0003441142],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9057251,0.0005503816,0.0001172007,0.09016741,0.0002344033,0.001242389,0.001610165,0.000125943,0.000227011],"genre_scores_gemma":[0.9901802,0.0001570789,0.000488259,0.008094353,0.0002622086,0.000166548,0.0005200839,0.00006248649,0.00006875881],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1669501,"threshold_uncertainty_score":0.9998547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2466316161098752,"score_gpt":0.4380518735808973,"score_spread":0.1914202574710221,"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."}}