{"id":"W2945483904","doi":"","title":"Smart Technologies for the Monitoring of Student’s Well-Being in Learning Spaces","year":2018,"lang":"en","type":"article","venue":"MacEwan University Student Research Proceedings","topic":"Educational Innovations and Challenges","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"MacEwan University","funders":"","keywords":"Computer science; Internet privacy; Business; Sociology","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":[0.0004375052,0.0003519687,0.0003108905,0.001109881,0.0003492062,0.001337299,0.0004058946,0.0005760196,0.003549803],"category_scores_gemma":[0.00185318,0.0001715001,0.0002601172,0.0008963861,0.0002360485,0.001225385,0.001085588,0.000666172,0.0008739054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002608725,"about_ca_system_score_gemma":0.0002161734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008954962,"about_ca_topic_score_gemma":0.002766423,"domain_scores_codex":[0.9994338,0.0002135224,0.00002924014,0.0001112068,0.0001668316,0.00004548796],"domain_scores_gemma":[0.9989095,0.0003979797,0.0002332756,0.0001128681,0.0002190769,0.0001273221],"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":[0.001029303,0.0006971611,0.2495017,0.0006738962,0.0002699867,0.0002358413,0.002751463,0.00409097,0.06141075,0.005371784,0.01458355,0.6593836],"study_design_scores_gemma":[0.0001274632,0.00286074,0.754724,0.0005754475,0.0003763022,0.001394526,0.007842025,0.07727438,0.07991154,0.01496058,0.05966293,0.0002899798],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8919572,0.002776225,0.07169773,0.001429544,0.0003187526,0.0003028047,0.003030059,0.001090625,0.02739708],"genre_scores_gemma":[0.966534,0.0008461941,0.02804736,0.000274865,0.00008451573,0.0002440649,0.0004247779,0.00003709057,0.003507166],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003549803,"threshold_uncertainty_score":0.01187533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1124911049169923,"score_gpt":0.3980282868904317,"score_spread":0.2855371819734394,"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."}}