{"id":"W1525300751","doi":"","title":"Making the connection: Matching pedagogy to TESL student teachers' computer-training needs","year":2003,"lang":"en","type":"dissertation","venue":"Spectrum Research Repository (Concordia University)","topic":"Online and Blended Learning","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Christian ministry; Needs analysis; Mathematics education; Computer science; Training (meteorology); Order (exchange); Medical education; Matching (statistics); Pedagogy; Psychology; Medicine","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":["metaepi_narrow","sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.002672515,0.0003268136,0.0004331427,0.001464535,0.005121225,0.0007109939,0.001370323,0.0004187443,0.0002291027],"category_scores_gemma":[0.000185586,0.0003304344,0.0002513027,0.002444238,0.0002943381,0.0003435239,0.0002031741,0.002483439,0.00007426077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001397633,"about_ca_system_score_gemma":0.003977248,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0148402,"about_ca_topic_score_gemma":0.06393535,"domain_scores_codex":[0.9934716,0.002754241,0.0003255542,0.0006975866,0.001542442,0.001208541],"domain_scores_gemma":[0.9977286,0.000794969,0.0002423269,0.0004975006,0.0003714873,0.0003651174],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005963554,0.0004884879,0.03789082,0.0002282557,0.001263857,0.002685515,0.7176192,0.001349264,0.001601502,0.1515892,0.01479709,0.06989037],"study_design_scores_gemma":[0.0002274104,0.0002114993,0.007854419,0.000181561,0.00005879714,0.000009746963,0.4771292,0.00001001181,0.00008678971,0.0002241438,0.5136595,0.000346914],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6573721,0.0001802421,0.0001868118,0.002032381,0.002277947,0.0006812499,0.000002154786,0.0001555742,0.3371116],"genre_scores_gemma":[0.8090761,0.00008111148,0.0002070603,0.00007514094,0.002455338,0.00000659371,0.00002501154,0.00005784669,0.1880158],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4988624,"threshold_uncertainty_score":0.9999148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06226338913463002,"score_gpt":0.3930843904242868,"score_spread":0.3308210012896567,"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."}}