{"id":"W2242738022","doi":"","title":"Integrating an LMS into Field Experience: An Insightful Experiment.","year":2013,"lang":"en","type":"article","venue":"EdMedia: World Conference on Educational Media and Technology","topic":"Innovative Teaching and Learning Methods","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Field (mathematics); 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":[0.005250957,0.0006849366,0.0005544289,0.0004174144,0.001514318,0.002068541,0.001422211,0.001997511,0.009616166],"category_scores_gemma":[0.01982615,0.0004805381,0.0004284826,0.000332513,0.0009328151,0.002714652,0.002214059,0.002213465,0.001241861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004421553,"about_ca_system_score_gemma":0.001213795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000712683,"about_ca_topic_score_gemma":0.0009790298,"domain_scores_codex":[0.9981584,0.0008681561,0.00009965925,0.0002991302,0.0002700471,0.0003046039],"domain_scores_gemma":[0.9807969,0.01516216,0.0004605206,0.001369183,0.0005615551,0.001649666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"nonrandomized_trial","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.03882723,0.344238,0.02431915,0.002902351,0.0003084777,0.002245464,0.143882,0.002929654,0.1635088,0.007064003,0.008877371,0.2608975],"study_design_scores_gemma":[0.02711253,0.4928219,0.1318392,0.00115986,0.001366582,0.001702055,0.114803,0.02017829,0.1203812,0.0214968,0.06630164,0.000836923],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991302,0.00005297673,0.002135916,0.000207418,0.00010132,0.001070734,0.0001340886,0.00009391411,0.004901724],"genre_scores_gemma":[0.9813313,0.0001178795,0.008956349,0.000444145,0.00006557936,0.001766292,0.0001547849,0.00006399641,0.007099458],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009616166,"threshold_uncertainty_score":0.03216928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0618142578449806,"score_gpt":0.4002672225937969,"score_spread":0.3384529647488164,"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."}}