{"id":"W1510484096","doi":"10.1023/a:1013297803500","title":"Meta-Data and Media Management in a Multimedia Interactive Telelearning System","year":2002,"lang":"en","type":"article","venue":"Multimedia Tools and Applications","topic":"Multimedia Communication and Technology","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science","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":[0.001031529,0.0003658649,0.000529177,0.00118784,0.001221999,0.002391041,0.00169972,0.001043821,0.005424512],"category_scores_gemma":[0.001993969,0.0003374057,0.000303565,0.0007247526,0.0005632532,0.002242853,0.001262188,0.0007637376,0.0008938198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007215666,"about_ca_system_score_gemma":0.0006411016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002669045,"about_ca_topic_score_gemma":0.002036677,"domain_scores_codex":[0.9995441,0.0001066799,0.00005837932,0.00008649918,0.0001450741,0.00005925039],"domain_scores_gemma":[0.9985759,0.0006824873,0.00008490869,0.0003064206,0.0001835564,0.0001667129],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.007263292,0.001971519,0.02141509,0.0002873282,0.0002241254,0.002222403,0.004899316,0.04996693,0.3097818,0.03287552,0.007530687,0.5615619],"study_design_scores_gemma":[0.0003357217,0.0006485461,0.004782171,0.00007061085,0.0003959311,0.0009124496,0.0007332442,0.6950654,0.2555809,0.01434555,0.02697791,0.0001516128],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5347586,0.0004750739,0.4371001,0.0006530884,0.0001147552,0.0002523641,0.0003905288,0.01391526,0.01234033],"genre_scores_gemma":[0.9146265,0.0001616042,0.07319336,0.0001346119,0.00009286115,0.0001342083,0.0003174271,0.0004632951,0.01087607],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005424512,"threshold_uncertainty_score":0.01814675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.152234914969392,"score_gpt":0.3448462071986162,"score_spread":0.1926112922292242,"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."}}