{"id":"W4416619428","doi":"10.1108/dl-01-2019-0002","title":"Wearable Learning Environments","year":2019,"lang":"en","type":"article","venue":"Distance Learning","topic":"Mobile Learning in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wearable computer; Wearable technology; Arduino; Lifelog; Guard (computer science)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007738674,0.001467662,0.0009369976,0.001333763,0.000968428,0.003816584,0.002610059,0.001688484,0.1114379],"category_scores_gemma":[0.002927873,0.0004734821,0.0008202419,0.001446266,0.0004414458,0.004680345,0.007093523,0.001187411,0.07553128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003832585,"about_ca_system_score_gemma":0.0007181229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005141358,"about_ca_topic_score_gemma":0.000801898,"domain_scores_codex":[0.9985663,0.0002875822,0.0001251495,0.0003094448,0.0005139448,0.0001976171],"domain_scores_gemma":[0.998921,0.0001991916,0.0000836231,0.0002783452,0.0003036626,0.0002142354],"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":[0.0002548217,0.000362349,0.00169351,0.001794592,0.00006883938,0.0004746555,0.0007463502,0.001764304,0.008366953,0.02169123,0.1987332,0.7640492],"study_design_scores_gemma":[0.00005187104,0.0002372743,0.001643091,0.0005829568,0.00004147583,0.0006862896,0.0003899741,0.002209664,0.003780912,0.01388541,0.9764149,0.00007618785],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01701803,0.009074106,0.3439045,0.002493319,0.003702436,0.001524695,0.008784195,0.02940887,0.5840899],"genre_scores_gemma":[0.2009121,0.01761056,0.1996089,0.006658334,0.0020215,0.004096243,0.0147182,0.00272959,0.5516447],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1114379,"threshold_uncertainty_score":0.3727969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005315440055193509,"score_gpt":0.2186814991934987,"score_spread":0.2133660591383052,"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."}}