{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004824988,0.0001662192,0.0003972426,0.0001116926,0.00004649067,0.00001268932,0.0002488214,0.00006630376,0.0001877712],"category_scores_gemma":[0.0001663871,0.00007257679,0.00004384792,0.0003762507,0.0003192885,0.00005259861,0.00008693733,0.0002271327,3.231741e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003574132,"about_ca_system_score_gemma":0.001179067,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.890631,"about_ca_topic_score_gemma":0.9080641,"domain_scores_codex":[0.998506,0.0002326355,0.0003812588,0.0002642503,0.000269766,0.0003460948],"domain_scores_gemma":[0.9983753,0.0007092101,0.0001277551,0.0003810224,0.000212325,0.0001943707],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002536891,0.0001333118,0.9589882,0.000130088,0.0001843546,0.00001319991,0.0005197787,0.001522665,0.0004352076,0.0006071255,0.02631425,0.008614883],"study_design_scores_gemma":[0.006589315,0.0001944561,0.8740976,0.0003882801,0.00005059284,0.000002945351,0.0001778873,0.006691476,0.00007350503,0.0001639941,0.1114293,0.0001406772],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9806149,0.000120028,0.00005895389,0.01631829,0.00009415273,0.001012562,0.001757823,0.00001863785,0.000004622986],"genre_scores_gemma":[0.9955291,0.0004967315,0.0001131448,0.001855859,0.0001729808,0.0002530467,0.0005615608,0.00001787519,0.0009996565],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08511506,"threshold_uncertainty_score":0.2959596,"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."}}