{"id":"W2068460134","doi":"10.1007/s10639-010-9150-8","title":"Laptop initiative: Impact on instructional technology integration and student learning","year":2011,"lang":"en","type":"article","venue":"Education and Information Technologies","topic":"Mobile Learning in Education","field":"Computer Science","cited_by":94,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Stephen's University","funders":"","keywords":"Laptop; Technology integration; Educational technology; Mathematics education; Perception; Psychology; Computer science; Medical education; Student engagement; Multimedia; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001268366,0.0004300462,0.0004241602,0.0007438709,0.0005062128,0.00303144,0.0007076514,0.0008364214,0.01933415],"category_scores_gemma":[0.007413884,0.0001244422,0.0005787933,0.0006446092,0.0002242914,0.001316936,0.001643456,0.0008833762,0.001733853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004612709,"about_ca_system_score_gemma":0.002055336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001651812,"about_ca_topic_score_gemma":0.001492076,"domain_scores_codex":[0.9989403,0.0003286343,0.00008705078,0.0001864567,0.0002597194,0.0001979167],"domain_scores_gemma":[0.991797,0.002796947,0.0007202038,0.0002460101,0.000650385,0.00378954],"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":[0.030374,0.04052938,0.3824921,0.0005615429,0.0005250702,0.0007899308,0.002400998,0.001267958,0.02914209,0.001528205,0.004087757,0.506301],"study_design_scores_gemma":[0.003734363,0.05941336,0.8658096,0.0001948207,0.002125891,0.000846729,0.008559942,0.005658465,0.04076105,0.001052045,0.01169925,0.0001445545],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939675,0.000115894,0.0002750689,0.0001444912,0.00002445637,0.00003303036,0.0001652022,0.0001859871,0.005088297],"genre_scores_gemma":[0.9936588,0.0001282855,0.0008913719,0.00007910737,0.00002655409,0.00004391733,0.0003291379,0.00004778204,0.00479498],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01933415,"threshold_uncertainty_score":0.06467915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01366995205245665,"score_gpt":0.2846671521917244,"score_spread":0.2709972001392678,"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."}}