{"id":"W2955201021","doi":"10.1145/3328923","title":"How Much is Too Much?","year":2019,"lang":"en","type":"article","venue":"Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies","topic":"Child Development and Digital Technology","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Set (abstract data type); Core (optical fiber); Information needs; Knowledge management; Phase (matter); Information technology; Psychology; Computer science; Data science; Internet privacy; World Wide Web; Telecommunications","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":[0.005780271,0.0004109392,0.0005905444,0.0008458412,0.003888541,0.007544477,0.000907302,0.00276501,0.00539425],"category_scores_gemma":[0.02455205,0.00040733,0.0004526096,0.001143259,0.008188618,0.01070827,0.002804988,0.0039718,0.001408412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003145164,"about_ca_system_score_gemma":0.003205651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005993397,"about_ca_topic_score_gemma":0.009588771,"domain_scores_codex":[0.994275,0.003525718,0.0002397392,0.0005169275,0.0009857836,0.0004567161],"domain_scores_gemma":[0.987783,0.006260914,0.001660246,0.0004818549,0.001964063,0.00184985],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003398388,0.0002804979,0.1151691,0.002698542,0.0003925878,0.002133795,0.231866,0.000224019,0.002665194,0.1385672,0.1437426,0.3619206],"study_design_scores_gemma":[0.00004111748,0.0002869208,0.03422993,0.002422287,0.0002789006,0.002673981,0.3992466,0.000299864,0.001411268,0.08666237,0.4723031,0.0001436473],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2381835,0.05383821,0.015276,0.5199923,0.005677488,0.000149266,0.0009174548,0.0002714012,0.1656943],"genre_scores_gemma":[0.9035348,0.02461187,0.006059078,0.04858402,0.0008681202,0.0001227347,0.0002786264,0.0001230363,0.01581758],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007544477,"threshold_uncertainty_score":0.03056931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01294716865645005,"score_gpt":0.2644573101439887,"score_spread":0.2515101414875386,"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."}}