{"id":"W6931714336","doi":"10.5683/sp2/9cbklw","title":"Smart Campus Project Datasets","year":2019,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Android (operating system); Mobile device; Data collection; Location data; Check-in","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00112772,0.002785823,0.001613157,0.003156414,0.001161126,0.001597787,0.003501659,0.001925724,0.01689772],"category_scores_gemma":[0.004427552,0.0005009111,0.001276782,0.005692718,0.0005180889,0.001928393,0.002758731,0.001821665,0.04301848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001284194,"about_ca_system_score_gemma":0.00187883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03060884,"about_ca_topic_score_gemma":0.05880134,"domain_scores_codex":[0.998007,0.0003782695,0.0002540748,0.0004830639,0.0006131165,0.0002644527],"domain_scores_gemma":[0.9980695,0.0002589303,0.0001237361,0.0006168559,0.0007154541,0.0002156288],"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":[0.0001224337,0.0001058058,0.002152786,0.0005173737,0.00004930678,0.00007664788,0.00006510321,0.001204699,0.0003244963,0.0007067426,0.9852979,0.009376861],"study_design_scores_gemma":[0.0002881031,0.0001150791,0.01629698,0.000291855,0.00005372606,0.0003439768,0.0005108261,0.006643394,0.001339178,0.002241929,0.9717685,0.0001063718],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002085815,0.0002022225,0.0006823721,0.0001842008,0.000104199,0.00007914322,0.9923663,0.002178146,0.002117668],"genre_scores_gemma":[0.001382896,0.00005498695,0.0007480918,0.00004542655,0.00001016279,0.00008990197,0.9969975,0.0000526801,0.0006183764],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03060884,"threshold_uncertainty_score":0.06086135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03576349487002832,"score_gpt":0.3167823008736978,"score_spread":0.2810188060036695,"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."}}