{"id":"W1533934107","doi":"","title":"Developing Technopedagogical Skills in Pre-service Teachers","year":2004,"lang":"en","type":"article","venue":"E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education","topic":"Teaching and Learning Programming","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Service (business); Medical education; Business; Computer science; Mathematics education; Psychology; Medicine; Marketing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.001321284,0.0002962499,0.0002393366,0.0007848799,0.0009487587,0.002198853,0.0005708291,0.0007944684,0.009065771],"category_scores_gemma":[0.00792826,0.0002538679,0.0002633277,0.000321144,0.0007527543,0.001476692,0.002244043,0.001808328,0.002078894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009422437,"about_ca_system_score_gemma":0.005218707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001589027,"about_ca_topic_score_gemma":0.004776689,"domain_scores_codex":[0.9994529,0.000124086,0.00003736121,0.0000644819,0.0001100326,0.0002109992],"domain_scores_gemma":[0.9950889,0.001516809,0.0003198,0.000268186,0.0008148081,0.001991497],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001076258,0.01530685,0.2328422,0.001020643,0.00003034545,0.003667052,0.1060067,0.0008363014,0.03001167,0.005075715,0.01460116,0.5895252],"study_design_scores_gemma":[0.000622513,0.01099598,0.5671483,0.002094208,0.0001579292,0.007919574,0.1770416,0.002484563,0.0795538,0.01085802,0.1409567,0.0001668583],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9805506,0.000320873,0.001273241,0.0005620031,0.00006376487,0.0001712862,0.00003833136,0.00007703155,0.0169427],"genre_scores_gemma":[0.9808099,0.0005570192,0.003896713,0.0002133921,0.000009983585,0.0001545333,0.0001014096,0.00002253671,0.01423456],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009065771,"threshold_uncertainty_score":0.03032804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0771754771421524,"score_gpt":0.3249455283613978,"score_spread":0.2477700512192454,"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."}}