{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005484754,0.00001909336,0.00002654198,0.00002636817,0.00001905218,0.00001606406,0.0002095197,0.000009692651,0.0003714453],"category_scores_gemma":[0.000005493139,0.00001377089,0.00001761844,0.0001188372,0.000004603783,0.000197902,0.00004816417,0.00001082149,0.0002297309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002123425,"about_ca_system_score_gemma":0.000005026356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003709767,"about_ca_topic_score_gemma":0.00001104323,"domain_scores_codex":[0.9997721,0.000007465478,0.00004284263,0.00007243631,0.00005908094,0.00004611116],"domain_scores_gemma":[0.9997979,0.000003749482,0.00000927622,0.000146062,0.00001941238,0.00002355639],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[2.703512e-7,0.00002041374,0.01109712,4.490428e-7,0.000008548469,0.000003532492,0.0009146076,0.000001237706,0.0001039487,0.9414597,0.004061842,0.04232837],"study_design_scores_gemma":[0.0006416168,0.0001606782,0.3232883,0.000007456505,0.00003514053,0.000009967955,0.0001349285,0.3984404,0.04062895,0.1822281,0.05366236,0.0007621683],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0009130265,0.00000606642,0.8289906,0.00008465636,0.00005743567,0.00000796105,2.33526e-8,0.00004755842,0.1698927],"genre_scores_gemma":[0.9372169,0.000003960926,0.06040624,0.0004647091,0.00001150916,8.203485e-7,3.433071e-7,8.36643e-7,0.001894661],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9363039,"threshold_uncertainty_score":0.4067065,"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."}}