{"id":"W2241545489","doi":"","title":"Emerging Technologies and Repurposing Multimedia: Linkages and Mysteries","year":2009,"lang":"en","type":"article","venue":"EdMedia: World Conference on Educational Media and Technology","topic":"Multimedia Communication and Technology","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Repurposing; Multimedia; Computer science; Emerging technologies; World Wide Web; Artificial intelligence; Engineering","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0003464535,0.0002340519,0.0003324228,0.001118529,0.0006527933,0.0000996184,0.0004233219,0.0004265758,0.000103783],"category_scores_gemma":[0.002205769,0.0002302286,0.00001958288,0.0007783459,0.002734609,0.0001957436,0.000172385,0.0006408723,0.00001154954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004680957,"about_ca_system_score_gemma":0.0002385794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005443381,"about_ca_topic_score_gemma":0.0008691779,"domain_scores_codex":[0.9984204,0.00008859203,0.0003134156,0.0005004652,0.000245204,0.0004319141],"domain_scores_gemma":[0.9982591,0.0008354649,0.0001652181,0.0004095085,0.0001904772,0.0001402812],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000005460863,0.00006743058,0.007912917,0.000007724579,0.00001188147,0.000002920937,0.003729172,1.59157e-8,0.0007049789,0.7337127,0.0003612847,0.2534835],"study_design_scores_gemma":[0.000428307,0.0001063096,0.00997627,0.0001418026,0.00002312915,0.00002051398,0.00587118,0.0001186722,0.001149994,0.9705722,0.01124093,0.0003507138],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.06369415,0.005553309,0.00002589574,0.9238822,0.0005704143,0.0003822633,0.000006527137,0.0008113689,0.005073842],"genre_scores_gemma":[0.9828202,0.01040132,0.005605651,0.0003341847,0.0001494487,0.0001063248,0.00001518641,0.00001100872,0.0005567472],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.923548,"threshold_uncertainty_score":0.9999794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03838104005507349,"score_gpt":0.3310077170490144,"score_spread":0.2926266769939409,"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."}}