{"id":"W2346048685","doi":"10.2196/cancer.5212","title":"“Googling” for Cancer: An Infodemiological Assessment of Online Search Interests in Australia, Canada, New Zealand, the United Kingdom, and the United States","year":2016,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cancer; Geography; Breast cancer; Demography; Medicine; Cancer registry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.001229522,0.0001853275,0.0003032375,0.008355755,0.0008557868,0.001628257,0.0005211979,0.0002887842,0.001453065],"category_scores_gemma":[0.008233921,0.0001348578,0.0004710219,0.01429616,0.0007286587,0.001599655,0.001588627,0.0004054992,0.0001962957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003913842,"about_ca_system_score_gemma":0.00460316,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7139732,"about_ca_topic_score_gemma":0.7867168,"domain_scores_codex":[0.9990884,0.0001230196,0.000147391,0.00009103675,0.0003577613,0.000192304],"domain_scores_gemma":[0.9918388,0.001672206,0.002933486,0.0001687493,0.002256996,0.001129885],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009375167,0.00001624482,0.985516,0.0002350149,0.00009149715,0.0001450341,0.004249705,0.0001194038,0.0001531224,0.0003111949,0.001909186,0.007159845],"study_design_scores_gemma":[0.00000164662,0.00001702014,0.9925096,0.00004786444,0.00003090673,0.0001007741,0.005298894,0.0004059118,0.00006112899,0.00003516274,0.001481375,0.000009679792],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875975,0.0009601382,0.0000935661,0.0003518622,0.000007221541,0.00004155345,0.006700573,0.00001819135,0.004229339],"genre_scores_gemma":[0.9958636,0.0005789319,0.0002588473,0.00008036616,0.000007948219,0.00002208234,0.002655608,0.00000867056,0.0005239503],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2860268,"threshold_uncertainty_score":0.5754226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1016049466121031,"score_gpt":0.4403358437134793,"score_spread":0.3387308971013762,"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."}}