{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006289272,0.0001185736,0.0001464214,0.0003672644,0.0002676489,0.0004754665,0.001384362,0.00008481782,0.00005977749],"category_scores_gemma":[0.001951285,0.0001255724,0.00002949838,0.0002780256,0.00005615214,0.001431946,0.0001304248,0.0003174489,0.00009751936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002921041,"about_ca_system_score_gemma":0.002198236,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.113474,"about_ca_topic_score_gemma":0.01445198,"domain_scores_codex":[0.9986872,0.00001044165,0.0002235644,0.0003494927,0.0002572042,0.000472078],"domain_scores_gemma":[0.9987408,0.00002825078,0.0002943984,0.0003956896,0.0002730089,0.0002678546],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000002784718,0.00006948126,0.9256718,0.0000650527,0.00000597555,9.215743e-7,0.002383344,0.00001033412,0.0009464071,0.05875518,0.008470686,0.003618008],"study_design_scores_gemma":[0.0002269355,0.00006179987,0.9823295,0.000179048,0.00000250262,0.000015896,0.0002180695,0.002258028,0.001308474,0.004632839,0.008572046,0.0001948224],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9539617,0.00004532927,0.00005031285,0.01494385,0.0007123121,0.0003375963,0.00000132476,0.00003440293,0.02991321],"genre_scores_gemma":[0.9900961,0.000006819568,0.008539139,0.000136556,0.0001964924,0.0000570511,0.000002070457,0.00001219758,0.0009536033],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09902202,"threshold_uncertainty_score":0.8924295,"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."}}