{"id":"W2137468922","doi":"10.1145/2633651.2633658","title":"Toward automated categorization of mobile health and fitness applications","year":2014,"lang":"en","type":"article","venue":"","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Categorization; Computer science; Android (operating system); Crawling; Feature selection; Keyword extraction; Health records; Mobile device; Mobile phone; Artificial intelligence; Machine learning; Information retrieval; Health care; World Wide Web; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001496892,0.00003663781,0.00009409787,0.00005362148,0.00004601006,0.00003130929,0.0001916064,0.00001442556,0.000003467377],"category_scores_gemma":[0.000009242196,0.00003073768,0.00001120263,0.0002976314,0.00001729494,0.0001209731,0.00006347754,0.00001637091,0.000006445103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005182328,"about_ca_system_score_gemma":0.00003454244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001227883,"about_ca_topic_score_gemma":0.000004284838,"domain_scores_codex":[0.9995623,0.00002776007,0.0001270028,0.0001452618,0.00006881816,0.00006885366],"domain_scores_gemma":[0.9995647,0.00002703573,0.00006446546,0.0002520335,0.00003725017,0.0000545358],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001045045,0.0001434189,0.003199724,0.000163889,0.00003321568,1.551052e-7,0.002238339,0.001248731,0.001075255,0.3765177,0.004935956,0.6104425],"study_design_scores_gemma":[0.0001061896,0.00009623552,0.0005934444,0.000006200605,0.000003648517,0.000001917512,0.0001001618,0.9866512,0.0007977888,0.00079466,0.01077549,0.0000731028],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002713367,0.00005841663,0.9961915,0.0002427603,0.00001265784,0.00007414386,0.000002114126,0.0002273657,0.0004776892],"genre_scores_gemma":[0.9681987,0.00001828023,0.03145474,0.0001188709,0.00001029817,0.00003921938,0.00002831978,0.000001930015,0.0001296817],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9854024,"threshold_uncertainty_score":0.1253446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01486673520986013,"score_gpt":0.2706124816316873,"score_spread":0.2557457464218272,"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."}}