{"id":"W2256925458","doi":"","title":"institutionalizING Educational Media Casting Without Interfering With Innovation","year":2007,"lang":"en","type":"article","venue":"EdMedia: World Conference on Educational Media and Technology","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"British Columbia Institute of Technology","funders":"","keywords":"Casting; Business; Computer science; Materials science; Metallurgy","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":[0.007415049,0.0009701091,0.0008905877,0.001854682,0.003054535,0.01083658,0.002814351,0.004814667,0.01542858],"category_scores_gemma":[0.03019711,0.0007887566,0.001135762,0.001437474,0.008477496,0.008319775,0.009896737,0.005925581,0.002632933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002072846,"about_ca_system_score_gemma":0.005828417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001104061,"about_ca_topic_score_gemma":0.001429875,"domain_scores_codex":[0.9914534,0.003070844,0.0004585907,0.001242326,0.00179606,0.001978835],"domain_scores_gemma":[0.9285683,0.02568332,0.004916903,0.03300317,0.003834762,0.003993545],"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":[0.0003157143,0.0008021009,0.004702907,0.000141093,0.00004848086,0.0003145612,0.00169509,0.005119588,0.01403383,0.9220218,0.001778151,0.04902658],"study_design_scores_gemma":[0.000308019,0.0006061412,0.003769826,0.000136512,0.0002919906,0.0003289891,0.003463547,0.03102796,0.06507742,0.8398165,0.05506055,0.0001125418],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4076536,0.0002989308,0.2105284,0.005897785,0.0005153732,0.0003755392,0.0002078822,0.003106471,0.371416],"genre_scores_gemma":[0.9748811,0.00007546678,0.01159166,0.0003706486,0.0000943673,0.00009773104,0.00003823621,0.0001294151,0.01272143],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01542858,"threshold_uncertainty_score":0.05161369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03631870703953621,"score_gpt":0.2987287538007131,"score_spread":0.2624100467611769,"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."}}