{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006407718,0.0009789566,0.0007613664,0.001621007,0.02665302,0.00848863,0.003142893,0.01021251,0.009109413],"category_scores_gemma":[0.01954717,0.001208814,0.001025609,0.001747481,0.00909918,0.008653344,0.00679778,0.01133892,0.001510915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003708493,"about_ca_system_score_gemma":0.004442216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01260593,"about_ca_topic_score_gemma":0.033314,"domain_scores_codex":[0.9930815,0.003756239,0.0002206085,0.0004876835,0.000895016,0.00155908],"domain_scores_gemma":[0.9849664,0.0088938,0.0008949308,0.0004884765,0.0007130518,0.004043303],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002083162,0.004145236,0.01825085,0.0001872022,0.00003034816,0.03460361,0.9024916,0.0002155609,0.001024087,0.01262154,0.006108241,0.02011352],"study_design_scores_gemma":[0.00003846341,0.0002783144,0.003771182,0.000232953,0.00002707065,0.009156142,0.9607757,0.0004845264,0.0006339532,0.00249379,0.02203289,0.00007505711],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9705536,0.000341074,0.001674097,0.007502073,0.0001349879,0.0001064753,0.00005883039,0.00002557666,0.01960317],"genre_scores_gemma":[0.9839013,0.0005605937,0.001623877,0.001550845,0.00002744395,0.00007270402,0.00003545484,0.00005218259,0.01217557],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02665302,"threshold_uncertainty_score":0.03388768,"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."}}