{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003826241,0.000300686,0.0004579958,0.001579811,0.002317325,0.004023609,0.0005285154,0.0018994,0.01119705],"category_scores_gemma":[0.01664048,0.0004455366,0.001055525,0.001075999,0.001819087,0.001512299,0.00203757,0.003255408,0.001440306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001027341,"about_ca_system_score_gemma":0.001423468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008532258,"about_ca_topic_score_gemma":0.01162568,"domain_scores_codex":[0.9959182,0.002136166,0.0001864272,0.0002392138,0.0007198403,0.0008002155],"domain_scores_gemma":[0.9646755,0.01261018,0.006537406,0.0007637278,0.002344622,0.01306862],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001258393,0.005934716,0.9612064,0.00005421537,0.0001007341,0.0003604989,0.01546628,0.0000808636,0.0007451333,0.0004473056,0.0008697736,0.01347567],"study_design_scores_gemma":[0.00005639952,0.0009501019,0.9668309,0.00003702392,0.00006345742,0.0001209272,0.03017787,0.0001856796,0.0002898776,0.0001207601,0.001145134,0.00002179031],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964604,0.00007533528,0.00001440345,0.000441888,0.00002352796,0.000008179116,0.00002407394,0.000001899763,0.002950348],"genre_scores_gemma":[0.9980895,0.00006692181,0.00001710258,0.0001193396,0.00002102279,0.000009628929,0.00002864284,0.000003349156,0.00164448],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01119705,"threshold_uncertainty_score":0.03745788,"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."}}