{"id":"W2272034212","doi":"","title":"Laptop Learning: Canada's Second Mobile Computing Bachelor of Education Program","year":2003,"lang":"en","type":"article","venue":"Society for Information Technology & Teacher Education International Conference","topic":"Mobile Learning in Education","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Nipissing University","funders":"","keywords":"Laptop; Computer science; Bachelor; Multimedia; Mobile device; Medical education; World Wide Web; Political science; Medicine; Operating system","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005150463,0.0002098381,0.0002020363,0.0002933961,0.000227604,0.0001720632,0.001028056,0.0002405624,0.0002208348],"category_scores_gemma":[0.0004882422,0.0002393406,0.0001466046,0.0006479697,0.0001229057,0.00114514,0.00009815687,0.0004553579,0.00001654915],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005622151,"about_ca_system_score_gemma":0.006395887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001301675,"about_ca_topic_score_gemma":0.0005054493,"domain_scores_codex":[0.9982673,0.0000567393,0.0006994503,0.0003119288,0.0003833678,0.0002812378],"domain_scores_gemma":[0.9966546,0.00009187869,0.0008299411,0.0004333527,0.001912168,0.00007804708],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003305431,0.0004749839,0.006476424,0.0001016263,0.00007579797,1.460393e-8,0.003839918,0.0001829205,0.0001867127,0.3623458,0.01572537,0.6105871],"study_design_scores_gemma":[0.0004053876,0.0001665829,0.003020789,0.00007736882,0.00001926231,0.00002106693,0.01963454,0.01565582,0.003838453,0.006683034,0.9500954,0.0003823506],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2638044,0.00044947,0.6059939,0.008838903,0.01113479,0.005917985,0.00003516642,0.001521655,0.1023037],"genre_scores_gemma":[0.8831651,0.0000155184,0.1120835,0.0003759586,0.00007497509,0.001499772,0.0002364594,0.00001210166,0.002536608],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.93437,"threshold_uncertainty_score":0.9992369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00971826087621413,"score_gpt":0.2866194187017357,"score_spread":0.2769011578255216,"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."}}