{"id":"W2897222496","doi":"10.1145/3266037.3266084","title":"SweatSponse","year":2018,"lang":"en","type":"article","venue":"","topic":"Personal Information Management and User Behavior","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Notification system; Perception; Phone; Ringing; Presentation (obstetrics); Human–computer interaction; Internet privacy; Computer security; World Wide Web; Psychology; Artificial intelligence; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008704861,0.0008151201,0.0005681723,0.0005392344,0.000237393,0.0007537737,0.0009901248,0.0007963132,0.01488333],"category_scores_gemma":[0.006259071,0.000317497,0.0005341547,0.0001795995,0.0003703001,0.001273145,0.0015895,0.0008040791,0.003771101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001633407,"about_ca_system_score_gemma":0.0003908779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003928366,"about_ca_topic_score_gemma":0.0006048451,"domain_scores_codex":[0.9991851,0.000137102,0.00004656658,0.0002346322,0.0003474939,0.00004910092],"domain_scores_gemma":[0.9977261,0.001070948,0.0002625881,0.0003070131,0.0003911151,0.0002422585],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002713867,0.0007557797,0.01289282,0.002017648,0.0002172487,0.0009482749,0.001047047,0.002015755,0.2060757,0.003940278,0.04033548,0.72704],"study_design_scores_gemma":[0.001221057,0.009742083,0.07321976,0.001119458,0.0008944388,0.008514068,0.0007489361,0.09081776,0.3951887,0.01772706,0.4000955,0.0007111515],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.3113979,0.007459116,0.5178801,0.002564811,0.002765797,0.002546445,0.004204388,0.09089386,0.06028736],"genre_scores_gemma":[0.7955096,0.002360892,0.1544786,0.002204936,0.0005006344,0.001258257,0.002140194,0.002662543,0.03888433],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01488333,"threshold_uncertainty_score":0.04978973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4851335791163792,"score_gpt":0.5162690294325726,"score_spread":0.03113545031619341,"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."}}