{"id":"W2267433997","doi":"","title":"Build it and they will use it: A case study in getting bang for your buck in educational technology choices","year":2014,"lang":"en","type":"article","venue":"EdMedia: World Conference on Educational Media and Technology","topic":"Online and Blended Learning","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Computer science; Information technology; Knowledge management; Mathematics education; 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":[0.0007891735,0.0001912828,0.0003040525,0.001637625,0.0003149172,0.00007921671,0.0002686491,0.0002601101,0.0001003695],"category_scores_gemma":[0.004401249,0.0001898629,0.00001926724,0.0009433957,0.0004772999,0.000285292,0.00008148495,0.0006051922,0.00000541091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008770867,"about_ca_system_score_gemma":0.00100236,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009617797,"about_ca_topic_score_gemma":0.134482,"domain_scores_codex":[0.9982808,0.0001443972,0.0003676991,0.0005313255,0.0002201637,0.0004555689],"domain_scores_gemma":[0.9970216,0.002302564,0.0001613816,0.0001953312,0.0002094175,0.000109746],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000104564,0.0004251155,0.5608749,0.0000152292,0.00001150209,0.00001462513,0.006137378,0.000001505855,0.00003835054,0.417239,0.0001804935,0.01505144],"study_design_scores_gemma":[0.001419013,0.0002620051,0.03419381,0.0002549105,0.00003004893,0.00008729637,0.04295693,0.0002631705,0.00002410026,0.9068221,0.01322211,0.0004644502],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5573357,0.00009728743,0.000005903141,0.4413521,0.0003531488,0.0003984044,0.00000496747,0.00003508579,0.0004173349],"genre_scores_gemma":[0.9955866,0.00011869,0.002277669,0.0002385245,0.0005545074,0.0004736449,0.00001582653,0.0000139132,0.0007206379],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5266811,"threshold_uncertainty_score":0.8813115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04935558113000667,"score_gpt":0.3605153569524723,"score_spread":0.3111597758224657,"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."}}