{"id":"W3168474701","doi":"10.1080/1475939x.2021.1942185","title":"Examining the effects of digital devices on students’ learning performance and motivation in an enhanced one-to-one environment: a longitudinal perspective","year":2021,"lang":"en","type":"article","venue":"Technology Pedagogy and Education","topic":"Impact of Technology on Adolescents","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Class (philosophy); Perspective (graphical); Learning environment; Variety (cybernetics); Longitudinal study; Computer science; Cognition; Mathematics education; Psychology; Multimedia; Artificial intelligence; 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":[0.003137557,0.0003587643,0.0004875593,0.001138422,0.001066113,0.00164528,0.0004859876,0.0006983598,0.00203732],"category_scores_gemma":[0.005677664,0.0003373853,0.0007786597,0.0007091062,0.0004942055,0.001126184,0.001423045,0.001369039,0.0005423793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006318471,"about_ca_system_score_gemma":0.0008028177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004007814,"about_ca_topic_score_gemma":0.005429042,"domain_scores_codex":[0.9986059,0.0003679059,0.0001108485,0.0001980555,0.0003968262,0.0003205641],"domain_scores_gemma":[0.9952313,0.0008560835,0.001362952,0.0002998138,0.000935955,0.001313824],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003380881,0.004359606,0.9675549,0.00005526278,0.0001052214,0.0001606048,0.005661632,0.0001218479,0.001171093,0.0001382882,0.0001967495,0.02013666],"study_design_scores_gemma":[0.000008108083,0.002010616,0.9935109,0.0000236798,0.00003832887,0.00005951774,0.002746683,0.0002223955,0.0006789873,0.00003862985,0.0006459517,0.00001629368],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994281,0.0000727684,0.00005343423,0.00002656446,0.000003715737,0.00002110401,0.00004893264,0.000002353637,0.000343052],"genre_scores_gemma":[0.9989937,0.0000607662,0.0001118305,0.00001077562,0.000003477992,0.0000315518,0.00009818281,0.000001795344,0.0006879533],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004007814,"threshold_uncertainty_score":0.01659322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03003656178549968,"score_gpt":0.3469478044172845,"score_spread":0.3169112426317848,"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."}}