{"id":"W2739175731","doi":"10.21125/edulearn.2017.0200","title":"EDUCATIONAL IMPACTS OF 1-1 TABLET PROJECTS IN CANADIAN SCHOOLS","year":2017,"lang":"en","type":"article","venue":"EDULEARN proceedings","topic":"Mobile Learning in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Library science; Medical education; Computer science; Mathematics education; Political science; Medicine; Psychology","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":[0.002508318,0.0005486293,0.0006153607,0.002180433,0.008839522,0.004217729,0.001457488,0.00132924,0.02580459],"category_scores_gemma":[0.006566156,0.0003729908,0.0006862676,0.003228416,0.001460757,0.001400112,0.003950646,0.001297556,0.002219158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04839423,"about_ca_system_score_gemma":0.09557725,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.948846,"about_ca_topic_score_gemma":0.9865146,"domain_scores_codex":[0.9958216,0.000719842,0.00007619923,0.000402606,0.001164151,0.001815519],"domain_scores_gemma":[0.9888467,0.0008219475,0.0004559539,0.0002841255,0.002255215,0.007336107],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00413877,0.0113043,0.2377794,0.0009226846,0.0001175131,0.0009215242,0.04782494,0.002415912,0.002653639,0.01116343,0.1492776,0.5314803],"study_design_scores_gemma":[0.0005399795,0.002423743,0.7205951,0.001082983,0.000165875,0.0001233213,0.09037847,0.002507584,0.002349141,0.001530281,0.1780951,0.0002083797],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.94119,0.0007363881,0.0003269913,0.003117066,0.0001569845,0.00032029,0.002481126,0.0002480899,0.05142308],"genre_scores_gemma":[0.9742124,0.0005577577,0.0007263067,0.0001744052,0.00001484954,0.0001164735,0.0006653371,0.00004264631,0.02348978],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05115402,"threshold_uncertainty_score":0.3511263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01405062996184341,"score_gpt":0.2820447018959287,"score_spread":0.2679940719340853,"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."}}