{"id":"W2585702959","doi":"10.21432/t2dw5k","title":"A Quantitative and Qualitative Inquiry into Future Teachers’ Use of Information and Communications Technology to Develop Students’ Information Literacy Skills | Enquête quantitative et qualitative auprès de futurs enseignants portant sur l’utilisation des technologies de l’information et de la communication pour développer les compétences informationnelles des élèves","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Learning and Technology","topic":"Gender and Technology in Education","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Université du Québec à Trois-Rivières","funders":"","keywords":"Information literacy; Literacy; Psychology; Qualitative research; Pedagogy; Information and Communications Technology; Library science; Medical education; Sociology; Computer science; Medicine; World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.02292484,0.0003333166,0.000659918,0.002016408,0.006968074,0.004771768,0.0008781533,0.001243321,0.002714739],"category_scores_gemma":[0.01984748,0.0006284835,0.0003730137,0.001537776,0.004948709,0.003624274,0.002731166,0.001454789,0.000358098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009731002,"about_ca_system_score_gemma":0.01196855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03603116,"about_ca_topic_score_gemma":0.06133946,"domain_scores_codex":[0.9906777,0.005696298,0.000451531,0.0005996944,0.001167461,0.001407326],"domain_scores_gemma":[0.9765409,0.01499178,0.001976062,0.0005476931,0.004055819,0.001887803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003263983,0.00009630246,0.0130957,0.0002093679,0.000003933214,0.0002976907,0.9746779,0.00004078185,0.0008434493,0.001275792,0.0005704533,0.008856],"study_design_scores_gemma":[0.00000536834,0.0000925776,0.009834331,0.0002230655,0.000003515068,0.0000593771,0.9775889,0.00005404238,0.0003068637,0.000139044,0.01167881,0.00001422583],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927152,0.0004737383,0.001263617,0.00136223,0.00003374503,0.0003288604,0.0001150464,0.00001129479,0.003696273],"genre_scores_gemma":[0.9907628,0.0007904598,0.001645804,0.0004259415,0.00001563231,0.0009423812,0.00006453462,0.00001317814,0.005339356],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03603116,"threshold_uncertainty_score":0.1212396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06371513989608638,"score_gpt":0.4243189381992936,"score_spread":0.3606037983032072,"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."}}