{"id":"W364581504","doi":"","title":"RELATIONS BETWEEN COMPUTER AND INFORMATION LITERACY, ICT USES AND ICT PEDAGOGICAL USEFULNESS FOR COLLEGE STUDENTS IN QUEBEC","year":2014,"lang":"en","type":"article","venue":"EDULEARN14 Proceedings","topic":"Online and Blended Learning","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Information and Communications Technology; Mathematics education; Information literacy; Computer literacy; Literacy; Pedagogy; Computer science; Sociology; Psychology; World Wide Web","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006937066,0.0002193971,0.000355372,0.001752036,0.003768105,0.002933279,0.0009107605,0.0006524642,0.006430048],"category_scores_gemma":[0.003214266,0.0002411553,0.0004578828,0.003232184,0.0009595307,0.0009711148,0.0008340756,0.001262812,0.0005592822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01955516,"about_ca_system_score_gemma":0.02323007,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9923517,"about_ca_topic_score_gemma":0.9973379,"domain_scores_codex":[0.9993489,0.00009812241,0.00004932568,0.0001015691,0.0001655815,0.0002365058],"domain_scores_gemma":[0.9939984,0.0009368956,0.0008792695,0.0001154796,0.002396503,0.001673432],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007199303,0.0002209568,0.9803836,0.00002757916,0.00003579681,0.0001252511,0.006440493,0.0001304355,0.0002298929,0.0002772598,0.001516721,0.01054007],"study_design_scores_gemma":[0.000005876898,0.00004012,0.9882845,0.00003932331,0.00001795983,0.000024389,0.009478142,0.0003999348,0.00008934503,0.00002797136,0.001578232,0.00001422654],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959389,0.0001879355,0.00005499907,0.0003766838,0.000006690022,0.00001731788,0.0005775017,0.00001328497,0.002826891],"genre_scores_gemma":[0.9943158,0.0001439795,0.00007505331,0.00008644532,0.000003546449,0.00001293163,0.0003129829,0.000006790321,0.00504243],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01955516,"threshold_uncertainty_score":0.1418833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03362913274483364,"score_gpt":0.354826110029932,"score_spread":0.3211969772850984,"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."}}