{"id":"W2413293531","doi":"","title":"Key issues in information technology and teacher training in Canada","year":2016,"lang":"en","type":"article","venue":"Society for Information Technology & Teacher Education International Conference","topic":"Education and Technology Integration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Training (meteorology); Key (lock); Information technology; Computer science; Engineering ethics; Knowledge management; Political science; Engineering; Geography; Computer security","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003797173,0.0003033058,0.0005301789,0.003676426,0.02981892,0.01503544,0.003352182,0.005622038,0.02505643],"category_scores_gemma":[0.01340907,0.0006097715,0.0005954445,0.00681174,0.005170225,0.002956203,0.004157098,0.008400409,0.0009369981],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.2426985,"about_ca_system_score_gemma":0.5337405,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9980034,"about_ca_topic_score_gemma":0.9988598,"domain_scores_codex":[0.988506,0.0009274298,0.0003427067,0.0005131328,0.002717344,0.006993464],"domain_scores_gemma":[0.9740592,0.002684982,0.0006048015,0.0001815768,0.008110225,0.01435914],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005786623,0.0006466301,0.07930304,0.001098432,0.00007908249,0.003235384,0.03650559,0.002359556,0.001616555,0.4047807,0.3037916,0.1660047],"study_design_scores_gemma":[0.0001129475,0.0001322597,0.1868773,0.0009602076,0.00006354936,0.0004080176,0.09242205,0.001486218,0.0009121276,0.008894462,0.7075396,0.0001912787],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2514868,0.01835478,0.0008328038,0.4533876,0.002394081,0.000284836,0.00162646,0.0001458185,0.2714869],"genre_scores_gemma":[0.7886167,0.006574112,0.001011498,0.02617941,0.0003159404,0.00007732896,0.0004327999,0.00008231978,0.1767099],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2426985,"threshold_uncertainty_score":0.8783624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02101439772278493,"score_gpt":0.3184084581229372,"score_spread":0.2973940604001523,"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."}}