{"id":"W2004981726","doi":"10.1145/1979742.1979711","title":"MediaDiver","year":2011,"lang":"en","type":"article","venue":"","topic":"Video Analysis and Summarization","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Timeline; Multimedia; Viewpoints; Context (archaeology); Annotation; Selection (genetic algorithm); Video production; Quality (philosophy); Video tracking; Post-production; Human–computer interaction; Video processing; World Wide Web; Artificial intelligence","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":[0.001779885,0.001204132,0.000672638,0.001485991,0.000906681,0.003834454,0.002693338,0.001978856,0.1077625],"category_scores_gemma":[0.003877328,0.0006654128,0.0008676333,0.0006395784,0.0006185693,0.008973437,0.005015404,0.002113429,0.02736191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004677293,"about_ca_system_score_gemma":0.0005280703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007754686,"about_ca_topic_score_gemma":0.001447569,"domain_scores_codex":[0.999027,0.0001849482,0.0000543729,0.0002575029,0.0003419375,0.0001342401],"domain_scores_gemma":[0.9980958,0.0005849062,0.00007938858,0.0005214649,0.0003329366,0.0003855327],"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":[0.001198793,0.0003236148,0.001376397,0.001136804,0.00009227533,0.001084067,0.001678209,0.0009889163,0.06598859,0.04999576,0.2758269,0.6003097],"study_design_scores_gemma":[0.00009786351,0.0003288954,0.0007950412,0.0001464168,0.00004466653,0.001165319,0.0002284786,0.005153508,0.02061215,0.008887784,0.96244,0.00009985615],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.01700358,0.002932418,0.626497,0.003400424,0.003276682,0.0007962782,0.006453659,0.1738917,0.1657481],"genre_scores_gemma":[0.1134102,0.002817817,0.5793477,0.005095192,0.002628572,0.001208217,0.01833142,0.02146265,0.2556983],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.1077625,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03651079778722984,"score_gpt":0.1869516425392326,"score_spread":0.1504408447520028,"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."}}