{"id":"W2216977500","doi":"","title":"Case Studies of Teachers Integrating Computer Technology in Mathematics","year":2010,"lang":"en","type":"article","venue":"EdMedia: World Conference on Educational Media and Technology","topic":"Education and Technology Integration","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Mathematics education; Computer science; Mathematics","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":[0.002136065,0.0007504101,0.0005040366,0.001676926,0.00867788,0.0028017,0.00249272,0.004724838,0.008101594],"category_scores_gemma":[0.01330722,0.0008523965,0.0005717673,0.002034555,0.003001852,0.002511689,0.003317519,0.002676924,0.001571489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002756954,"about_ca_system_score_gemma":0.002056352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01155342,"about_ca_topic_score_gemma":0.04296272,"domain_scores_codex":[0.996351,0.00200794,0.0001739464,0.0002796734,0.0005328844,0.0006543742],"domain_scores_gemma":[0.9907527,0.005913851,0.0007902027,0.000555995,0.0006844663,0.001302711],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0009872365,0.0125319,0.08281024,0.001192375,0.0000871099,0.1082437,0.652959,0.005743573,0.008611729,0.01538114,0.007030684,0.1044213],"study_design_scores_gemma":[0.0003173948,0.002198408,0.03858427,0.0006344861,0.0001414436,0.04307992,0.7462586,0.006205053,0.01686809,0.00440495,0.1411791,0.0001283245],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9724797,0.0003284445,0.005897262,0.001014072,0.00003912376,0.000255415,0.0001154689,0.00005966537,0.0198109],"genre_scores_gemma":[0.9715029,0.0006714255,0.007509039,0.000155078,0.00001847947,0.0001185409,0.00007394145,0.00004630762,0.01990418],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01155342,"threshold_uncertainty_score":0.02710247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0526251436463555,"score_gpt":0.3597750418192114,"score_spread":0.3071498981728559,"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."}}