{"id":"W3204859046","doi":"10.18280/ts.380403","title":"Label Importance Ranking with Entropy Variation Complex Networks for Structured Video Captioning","year":2021,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Multimodal Machine Learning Applications","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Beijing Municipal Science and Technology Commission","keywords":"Variation (astronomy); Closed captioning; Ranking (information retrieval); Computer science; Entropy (arrow of time); Artificial intelligence; Data mining; Image (mathematics); Astrophysics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002602012,0.0001562227,0.0001666283,0.00004633875,0.0003412679,0.0002322508,0.0003439731,0.00004457197,0.0001348712],"category_scores_gemma":[0.00002214941,0.0001477953,0.00004618292,0.0003250981,0.00002285961,0.0002412812,0.0000621906,0.0001448182,0.000003367393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007676472,"about_ca_system_score_gemma":0.00007715976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004729319,"about_ca_topic_score_gemma":0.00004816208,"domain_scores_codex":[0.9986075,0.00007429497,0.0002872515,0.0004623592,0.000277395,0.0002912259],"domain_scores_gemma":[0.9990511,0.0001576842,0.0002009054,0.0003199856,0.0001976297,0.00007268904],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000966068,0.0002382465,0.03500866,0.0000565437,0.0001981388,0.00001751451,0.001804708,0.4943839,0.05951311,0.362269,0.0005356019,0.04587802],"study_design_scores_gemma":[0.001439289,0.0000544972,0.1275645,0.00001850442,0.00002247101,0.00001400787,0.00001277798,0.8677791,0.0002533966,0.001888011,0.0007802051,0.0001732649],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07040735,0.00004380189,0.9275373,0.001302661,0.00006797312,0.0003985741,0.000007238347,0.0001611422,0.00007398033],"genre_scores_gemma":[0.7136,0.000001473205,0.2856219,0.0003985417,0.0001490664,0.0001133947,0.00009248756,0.00001037139,0.00001285245],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6431926,"threshold_uncertainty_score":0.6026918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01946312320937177,"score_gpt":0.2584458161975389,"score_spread":0.2389826929881672,"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."}}