{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009591986,0.00003455969,0.00004615901,0.0001324837,0.00008663489,0.0001740465,0.0003123239,0.00001342377,0.01711904],"category_scores_gemma":[0.0002396309,0.00002132832,0.00003203137,0.0003355223,0.00005623538,0.0004257179,0.00006355048,0.00001771124,0.02808724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005013956,"about_ca_system_score_gemma":0.000008211443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004752242,"about_ca_topic_score_gemma":0.00001315855,"domain_scores_codex":[0.9990991,0.00002072354,0.000179345,0.00009383876,0.0005209445,0.00008608845],"domain_scores_gemma":[0.9994473,0.0000920109,0.00003468071,0.0002235775,0.0001608485,0.00004158916],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003023017,0.00001950388,0.02381759,2.383957e-7,0.000003041082,0.00000170539,0.0007022899,5.578502e-7,0.0003148472,0.04634824,0.8176015,0.1111603],"study_design_scores_gemma":[0.0001164611,0.00003912915,0.1284002,6.079496e-7,0.000002138657,0.000001375615,0.0007480588,0.001108092,0.0007523364,0.003911365,0.8648535,0.00006676567],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5851196,0.000001305564,0.005397066,0.001211497,0.000206465,0.00003651243,8.515348e-7,0.00004935285,0.4079773],"genre_scores_gemma":[0.8902747,2.809434e-7,0.001012096,0.001549533,0.00007089818,0.00000152583,4.313256e-7,0.000001221857,0.1070893],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3051551,"threshold_uncertainty_score":0.9837794,"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."}}