{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002063768,0.0001948775,0.0002972274,0.0002233232,0.0002819804,0.0002208164,0.001757658,0.0002769424,0.000026482],"category_scores_gemma":[0.001846575,0.0001382075,0.00009622263,0.0005025674,0.0006121509,0.0006269856,0.001350569,0.0003943217,0.00002824187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000962305,"about_ca_system_score_gemma":0.00004572124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006614798,"about_ca_topic_score_gemma":0.00001121066,"domain_scores_codex":[0.9986908,0.000006526687,0.0001856852,0.0004094182,0.0003272902,0.0003803138],"domain_scores_gemma":[0.998902,0.0001736871,0.0002489972,0.0004017889,0.0002464127,0.00002709163],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005132261,0.000648861,0.1033212,0.0003021083,0.0003659867,0.000003333016,0.02064058,5.915854e-7,0.1110565,0.3476367,0.1079601,0.3075508],"study_design_scores_gemma":[0.0002969024,0.0004405496,0.0008538325,0.0002370502,0.00001410649,0.000005543096,0.1071812,0.000003659333,0.6174279,0.1760139,0.0972449,0.0002804479],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.920536,0.0003113823,4.778822e-7,0.01950166,0.000246598,0.0006486132,0.000005129853,0.0005020961,0.05824801],"genre_scores_gemma":[0.9876325,0.0005827959,0.0002132003,0.0001940066,0.00002497028,0.00009251526,2.458442e-7,0.00001424222,0.01124558],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5063714,"threshold_uncertainty_score":0.5635939,"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."}}