{"id":"W3047696554","doi":"10.1109/csde48274.2019.9162379","title":"Google App Analysis","year":2019,"lang":"en","type":"article","venue":"","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000939853,0.001443115,0.001028515,0.01682212,0.0008393504,0.002799093,0.00105525,0.0005501308,0.04309049],"category_scores_gemma":[0.006737767,0.0002731294,0.001553035,0.01044961,0.0002755299,0.001963665,0.001317125,0.0009122473,0.04839301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009033625,"about_ca_system_score_gemma":0.002790164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0188644,"about_ca_topic_score_gemma":0.02253647,"domain_scores_codex":[0.9975369,0.0001397091,0.0002133673,0.0003993801,0.001474686,0.0002359739],"domain_scores_gemma":[0.9961315,0.0005972071,0.0002670768,0.0003812281,0.002464089,0.0001588316],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0004564565,0.0002205253,0.03308922,0.003828685,0.0002826205,0.0008308992,0.001134503,0.001142522,0.002127086,0.009373939,0.6696503,0.2778631],"study_design_scores_gemma":[0.00006678294,0.000106201,0.06771529,0.0005138388,0.0001764733,0.0007379195,0.001036613,0.0046387,0.00178525,0.003396713,0.9197091,0.0001170857],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.04570163,0.002671292,0.0067314,0.0007982974,0.0005651989,0.002111469,0.7269099,0.01524722,0.1992637],"genre_scores_gemma":[0.1434666,0.002693624,0.02720045,0.0005719311,0.0003910272,0.003102318,0.718102,0.003065112,0.1014069],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04309049,"threshold_uncertainty_score":0.144152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03481063312081172,"score_gpt":0.4514885297672732,"score_spread":0.4166778966464615,"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."}}