{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005134775,0.0002161078,0.000171439,0.0004484922,0.0005547297,0.0005121085,0.000909258,0.0005746093,0.001473129],"category_scores_gemma":[0.0002578062,0.0002304691,0.0001958241,0.0007269704,0.0003006443,0.001845905,0.00009535166,0.0003866032,0.000333731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005102151,"about_ca_system_score_gemma":0.0009274421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001516913,"about_ca_topic_score_gemma":0.0003810763,"domain_scores_codex":[0.998301,0.00004118053,0.0005523274,0.000312564,0.0004386341,0.0003542908],"domain_scores_gemma":[0.997135,0.00006691941,0.0003441136,0.0003744867,0.001992895,0.00008654236],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000135806,0.0002509165,0.01976642,0.00001209285,0.0000554097,2.300823e-8,0.01188266,0.000008220883,0.00005494194,0.6678934,0.2669131,0.03314922],"study_design_scores_gemma":[0.0003175455,0.00005609478,0.0062199,0.00004780236,0.00002405649,0.000001955798,0.04107001,0.0007597527,0.0003210352,0.02961819,0.9212623,0.0003014097],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.390436,0.0001457265,0.1815323,0.3062234,0.004669186,0.003416132,0.0001696859,0.002021608,0.1113859],"genre_scores_gemma":[0.9438694,0.00004590142,0.03053691,0.004464832,0.0006258783,0.001004771,0.0003970522,0.00001945921,0.01903586],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6543491,"threshold_uncertainty_score":0.9994397,"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."}}