{"id":"W2257254212","doi":"","title":"Preservice Teacher Computer Use: There is a Lot to Do","year":2006,"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":"University of Windsor","funders":"","keywords":"Mathematics education; Computer science; Pedagogy; Psychology","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":[0.008373003,0.000579741,0.001210737,0.001610058,0.007135951,0.009183479,0.001753722,0.00799736,0.01882757],"category_scores_gemma":[0.03008159,0.0004894851,0.0008443716,0.001469065,0.005151843,0.01499928,0.00437226,0.007782447,0.004877257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004040974,"about_ca_system_score_gemma":0.01247977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02883292,"about_ca_topic_score_gemma":0.07827277,"domain_scores_codex":[0.994404,0.002233258,0.0002612998,0.0005144069,0.001559466,0.001027683],"domain_scores_gemma":[0.9532838,0.01462775,0.002208112,0.002619944,0.01499876,0.01226155],"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":[0.0002157593,0.0007219872,0.04503677,0.001592164,0.0000968133,0.0003075337,0.01111738,0.00007268151,0.0005595816,0.002914596,0.3419552,0.5954095],"study_design_scores_gemma":[0.0001381781,0.0007557257,0.2091334,0.0122619,0.0002946699,0.001675947,0.2385998,0.0002415374,0.0009989011,0.0119197,0.5236807,0.0002995256],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.03404774,0.05382549,0.0008987544,0.8899767,0.005758038,0.00005235016,0.000172573,0.0001861525,0.01508209],"genre_scores_gemma":[0.4947591,0.1146986,0.004765805,0.3254954,0.007842677,0.0003604687,0.0009248689,0.0003625351,0.05079058],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02883292,"threshold_uncertainty_score":0.06298453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.024174499397779,"score_gpt":0.3351466434252389,"score_spread":0.3109721440274599,"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."}}