{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008964092,0.00026647,0.0003430316,0.004802958,0.0003258006,0.001157119,0.0003217401,0.0003335149,0.0008606136],"category_scores_gemma":[0.007743444,0.0001550691,0.0005125844,0.007529689,0.000324306,0.001284968,0.0006995641,0.0003390287,0.0003224254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001273526,"about_ca_system_score_gemma":0.00123662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.106198,"about_ca_topic_score_gemma":0.09665848,"domain_scores_codex":[0.9991849,0.0001408613,0.0001157522,0.000137553,0.0002826474,0.0001382748],"domain_scores_gemma":[0.9964798,0.001021157,0.001246532,0.0002292488,0.0008444484,0.0001788087],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001293065,0.00006182404,0.9517911,0.0006314086,0.0001194588,0.0003732693,0.002491983,0.001553209,0.001242823,0.002210378,0.00657221,0.03282306],"study_design_scores_gemma":[0.000009794253,0.00009081207,0.9568453,0.0002363794,0.0001081076,0.0004794055,0.004831682,0.01022238,0.0009855268,0.0009456754,0.02520527,0.00003967645],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9504484,0.001663533,0.001359352,0.001381533,0.00005181986,0.00009730264,0.03419581,0.0001846216,0.0106177],"genre_scores_gemma":[0.9880426,0.0005767437,0.0009112544,0.00008021697,0.00003696018,0.00004967696,0.009696244,0.0000297298,0.0005765473],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.106198,"threshold_uncertainty_score":0.2111597,"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."}}