{"id":"W2027038623","doi":"10.1145/1111449.1111480","title":"Interactive multimedia summaries of evaluative text","year":2006,"lang":"en","type":"article","venue":"","topic":"Video Analysis and Summarization","field":"Computer Science","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Multimedia; Interactive media; World Wide Web; Human–computer interaction","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":[0.0007509156,0.001063416,0.0004027069,0.001876283,0.0002756941,0.001132315,0.0007364275,0.0004664146,0.01867767],"category_scores_gemma":[0.005551833,0.000175811,0.0002804801,0.001043348,0.0001609827,0.001421668,0.000725157,0.0003611002,0.003309301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002117071,"about_ca_system_score_gemma":0.0001736229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003429189,"about_ca_topic_score_gemma":0.0007923337,"domain_scores_codex":[0.9996239,0.0001460561,0.00003195781,0.00006951331,0.000107352,0.00002119749],"domain_scores_gemma":[0.996106,0.002539327,0.000326283,0.000266146,0.0005998064,0.0001624784],"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":[0.001456735,0.0003012916,0.00138499,0.001787252,0.00009892231,0.0007961798,0.002877024,0.003855133,0.071711,0.003870757,0.09123534,0.8206254],"study_design_scores_gemma":[0.0006055467,0.002542153,0.01629482,0.0008634925,0.0004784826,0.002161172,0.003719285,0.1373109,0.1582717,0.02222237,0.6551748,0.0003552233],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.117061,0.002719246,0.7611579,0.001160545,0.0004648831,0.001007522,0.01238468,0.08027192,0.02377227],"genre_scores_gemma":[0.2941279,0.001507745,0.665785,0.0004609286,0.0007797339,0.001106348,0.01587822,0.0025715,0.01778271],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01867767,"threshold_uncertainty_score":0.06248307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008962131532321867,"score_gpt":0.2562226735783809,"score_spread":0.247260542046059,"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."}}