{"id":"W1527739321","doi":"","title":"1:1 iPad Adoption – Preparing Middle School Teachers to Teach Math","year":2013,"lang":"en","type":"article","venue":"Society for Information Technology & Teacher Education International Conference","topic":"Child Development and Digital Technology","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Mathematics education; Math education; School teachers; 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":[0.0004948535,0.000186455,0.0001664472,0.0004583503,0.0004668855,0.0004323116,0.0008136724,0.000435596,0.0005408327],"category_scores_gemma":[0.0009667762,0.0002043544,0.0001658107,0.0005555222,0.0002456775,0.002487069,0.000150426,0.0003322158,0.0009156717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007077811,"about_ca_system_score_gemma":0.0009698833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000383719,"about_ca_topic_score_gemma":0.00008767506,"domain_scores_codex":[0.9984282,0.0000190341,0.0005203618,0.0002728988,0.0003795777,0.0003799279],"domain_scores_gemma":[0.9982207,0.00003864475,0.0002825897,0.0002645825,0.001040059,0.0001534249],"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":[0.000008418768,0.0001612933,0.009725463,0.00001602168,0.00007757964,1.34987e-8,0.01813308,0.000005359271,0.000185555,0.6308708,0.1125508,0.2282657],"study_design_scores_gemma":[0.00040865,0.00005327211,0.004996914,0.00006935572,0.00001664854,0.000002989843,0.1236447,0.0004895446,0.0002842653,0.04004275,0.8295971,0.0003938928],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5836939,0.00006425599,0.0471925,0.07691553,0.002283882,0.003553296,0.00002954717,0.002098976,0.2841681],"genre_scores_gemma":[0.9587621,0.0000467069,0.02702545,0.001853085,0.0001922223,0.001672019,0.0002302797,0.00001397365,0.01020412],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7170463,"threshold_uncertainty_score":0.9998623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02405821647279718,"score_gpt":0.3084800768322323,"score_spread":0.2844218603594351,"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."}}