{"id":"W2914762225","doi":"","title":"Coding, Circuits and Crafting: Making Wearable Technologies in Support of 21st Century Competencies","year":2018,"lang":"en","type":"article","venue":"2018 Conference of the Canadian Society for the Study of Education","topic":"Digital literacy in education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Wearable technology; Wearable computer; Coding (social sciences); Computer science; Human–computer interaction; Internet privacy; Sociology; Embedded system; Social science","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":[0.0004098627,0.00008904954,0.0001518943,0.00008250861,0.0002119328,0.00007843747,0.0009750832,0.00004926155,0.000004421142],"category_scores_gemma":[0.0002075838,0.00006647428,0.0000639714,0.0003772588,0.0004249051,0.0002924643,0.0001208637,0.0000758974,4.892498e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001208405,"about_ca_system_score_gemma":0.001235058,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.009772752,"about_ca_topic_score_gemma":0.03463568,"domain_scores_codex":[0.9991601,0.00002231189,0.0002822176,0.0001819581,0.0001656108,0.0001878462],"domain_scores_gemma":[0.9986103,0.000125652,0.0003004606,0.0005100244,0.0004257199,0.00002790594],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001062731,0.001271451,0.1628436,0.0004440623,0.0002581404,7.30891e-8,0.3307614,0.00001566015,0.002741424,0.2380068,0.0140012,0.2496455],"study_design_scores_gemma":[0.001184415,0.001546304,0.3803282,0.001017918,0.0001564649,0.00001265624,0.5290943,0.003513564,0.009116054,0.03419686,0.03912238,0.0007108335],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864267,0.0002915793,0.0003727545,0.00448688,0.001439801,0.001305729,0.00003098843,0.00002419147,0.005621346],"genre_scores_gemma":[0.998292,0.0000248416,0.001387588,0.0000879489,0.00002340192,0.00003810391,0.000001275396,0.000004701,0.0001401632],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2489346,"threshold_uncertainty_score":0.9968213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03623936824209413,"score_gpt":0.2790489591001818,"score_spread":0.2428095908580877,"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."}}