{"id":"W1535844438","doi":"","title":"Tech use and teacher candidates: The impact of new online tools on attitudes","year":2008,"lang":"en","type":"article","venue":"Society for Information Technology & Teacher Education International Conference","topic":"Gender and Technology in Education","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Brock University","funders":"","keywords":"Computer science; Internet privacy; Mathematics education; Business; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003092813,0.0001455588,0.000142014,0.0002367921,0.0004671087,0.0001006044,0.0005294289,0.0003309787,0.0001830108],"category_scores_gemma":[0.0008556708,0.0001168028,0.0001621211,0.0003654592,0.0007159125,0.001135817,0.00005337225,0.000335844,0.00001339488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002997878,"about_ca_system_score_gemma":0.001708454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001865933,"about_ca_topic_score_gemma":0.0001094097,"domain_scores_codex":[0.9989929,0.00002619329,0.0003580993,0.0001625675,0.000255719,0.0002045601],"domain_scores_gemma":[0.99855,0.0001105375,0.0003206448,0.0002619111,0.0006998506,0.0000570538],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005840297,0.0008183289,0.4014176,0.00001965726,0.0003785147,4.885859e-8,0.06071728,0.00002441185,0.0002094094,0.2837849,0.1084771,0.1440944],"study_design_scores_gemma":[0.001278847,0.000392165,0.7307502,0.0001131156,0.0000847371,0.00003163705,0.1045655,0.0007548978,0.0008177179,0.03957953,0.1210433,0.0005883589],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9748807,0.00007158866,0.002037842,0.01779106,0.0004016358,0.0006548556,0.00006564914,0.0001999104,0.00389675],"genre_scores_gemma":[0.993169,0.000370113,0.002977061,0.0002608306,0.0001338672,0.0001354019,0.0002139325,0.000007357654,0.00273245],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3293326,"threshold_uncertainty_score":0.4763079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08496600168110165,"score_gpt":0.3913374818254738,"score_spread":0.3063714801443722,"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."}}