{"id":"W2002027782","doi":"10.1109/ism.2012.95","title":"Thin and Light Video Editing Extensions for Education with Opencast Matterhorn","year":2012,"lang":"en","type":"article","venue":"","topic":"Video Analysis and Summarization","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"French horn; Clipping (morphology); Computer science; Plan (archaeology); Software; Video editing; Web application; Multimedia; State (computer science); Human–computer interaction; World Wide Web; Operating system; Geology; Programming language; Acoustics","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":[0.001465771,0.0007553718,0.0004037736,0.0007545926,0.0004625008,0.002065742,0.00178663,0.0007695569,0.0191161],"category_scores_gemma":[0.00599457,0.0004589431,0.0006009449,0.0003941322,0.0005673984,0.003071429,0.002778122,0.001537908,0.002567665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004171223,"about_ca_system_score_gemma":0.0005190278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001231019,"about_ca_topic_score_gemma":0.003173131,"domain_scores_codex":[0.9991711,0.0002041215,0.00006939932,0.0001380036,0.0003181991,0.00009918956],"domain_scores_gemma":[0.995948,0.001855342,0.0001820897,0.00120262,0.0003874994,0.0004243487],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002822432,0.0008800527,0.002543252,0.001055986,0.00009220024,0.0009447717,0.00454791,0.004169975,0.1712112,0.02257391,0.03268998,0.7564683],"study_design_scores_gemma":[0.0007900322,0.001514566,0.01267757,0.0006662948,0.0002216217,0.00171948,0.001714947,0.1301369,0.1990588,0.02269902,0.62842,0.0003808425],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.05899793,0.0003987824,0.8335435,0.0004320774,0.0002905742,0.0009943814,0.0007666255,0.08062501,0.02395111],"genre_scores_gemma":[0.2743905,0.000573881,0.6732915,0.0005344473,0.000326942,0.0008609704,0.002702283,0.01050808,0.03681146],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.0191161,"threshold_uncertainty_score":0.06394976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01100465002579159,"score_gpt":0.2424176643659696,"score_spread":0.2314130143401781,"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."}}