{"id":"W2203733254","doi":"","title":"Use of laptops by preservice teachers at the university: Does it help or hinder initial teacher training?","year":2011,"lang":"en","type":"article","venue":"","topic":"Mobile Learning in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal; Université de Montréal","funders":"","keywords":"Training (meteorology); Mathematics education; Medical education; Pedagogy; Teacher education; Psychology; Computer science; 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":[0.002193219,0.0002150048,0.0004044645,0.0008423629,0.001940791,0.002852899,0.0008792937,0.001868628,0.006556533],"category_scores_gemma":[0.02686595,0.0003933421,0.0004468748,0.000671763,0.00102419,0.002462116,0.001015074,0.001674403,0.001424274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001261585,"about_ca_system_score_gemma":0.00338879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01918343,"about_ca_topic_score_gemma":0.04859884,"domain_scores_codex":[0.9982888,0.0005753784,0.0001014268,0.0001104577,0.0003757089,0.0005482786],"domain_scores_gemma":[0.9805143,0.008323016,0.004244199,0.0004569563,0.002583977,0.003877522],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003102531,0.00104825,0.8832858,0.0002205145,0.00004691869,0.001406239,0.02523537,0.00004704827,0.001058228,0.0003363618,0.003994051,0.08301091],"study_design_scores_gemma":[0.00003497351,0.0005409795,0.8187644,0.0008697093,0.0001203819,0.002053939,0.1690413,0.0003036846,0.0009577479,0.0002167715,0.007056419,0.00003966973],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916904,0.0005680202,0.0001201402,0.002727879,0.00004630725,0.00001847459,0.00005101416,0.0000144802,0.004763235],"genre_scores_gemma":[0.9975923,0.0006720124,0.0001399848,0.0005049785,0.00002298485,0.000008620633,0.00003063511,0.000009137093,0.001019434],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01918343,"threshold_uncertainty_score":0.03814352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07934044573687166,"score_gpt":0.2690870768605532,"score_spread":0.1897466311236815,"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."}}