{"id":"W4309781229","doi":"10.5539/ies.v15n6p27","title":"Crowd Context-Based Learning Process via IoT Wearable Technology to Promote Digital Health Literacy","year":2022,"lang":"en","type":"article","venue":"International Education Studies","topic":"FinTech, Crowdfunding, Digital Finance","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Context (archaeology); Wearable technology; Digital health; Health literacy; Process (computing); Knowledge management; Wearable computer; Multimedia; Health care","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0009586315,0.0003269799,0.0001995936,0.0007052812,0.0007823514,0.001537852,0.0004936492,0.0006302629,0.00331381],"category_scores_gemma":[0.002887214,0.0001224326,0.0004028186,0.000302249,0.0007859438,0.001683796,0.002724424,0.0005178884,0.0004587419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004545893,"about_ca_system_score_gemma":0.0009038338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005358719,"about_ca_topic_score_gemma":0.0008099252,"domain_scores_codex":[0.9992371,0.0003634569,0.00003047378,0.0001172289,0.0001463382,0.0001053949],"domain_scores_gemma":[0.9991304,0.000456751,0.0001077424,0.00007705042,0.0000905947,0.0001373153],"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":[0.0006173361,0.004477265,0.04170797,0.001840885,0.0001137791,0.001410665,0.05711235,0.008681814,0.04385082,0.0395514,0.01207457,0.7885612],"study_design_scores_gemma":[0.0007073688,0.006711324,0.1521306,0.003255877,0.000600446,0.002486144,0.0889108,0.08463478,0.08659688,0.1480946,0.4254141,0.0004571445],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7878639,0.0008786636,0.1033843,0.002452822,0.0002543641,0.001115617,0.0001822208,0.0007913921,0.1030768],"genre_scores_gemma":[0.9706566,0.000300559,0.02377799,0.0003544269,0.00004468348,0.0003810033,0.00006805858,0.00002400322,0.004392749],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00331381,"threshold_uncertainty_score":0.01108581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02231107469383299,"score_gpt":0.3493539358054418,"score_spread":0.3270428611116089,"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."}}