{"id":"W1894124608","doi":"10.1002/cav.1501","title":"Fire pattern analysis and synthesis using EigenFires and motion transitions","year":2013,"lang":"en","type":"article","venue":"Computer Animation and Virtual Worlds","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Animation; Frame (networking); Principal component analysis; Graphics; Artificial intelligence; Computer graphics (images); Motion (physics); Similarity (geometry); Computer graphics; Frame rate; Component (thermodynamics); Sequence (biology); Identification (biology); Computer vision; Pattern recognition (psychology); Image (mathematics)","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":[0.0001444512,0.0001538727,0.000207383,0.0003964566,0.0002706651,0.0006447877,0.0001382077,0.00005662235,0.00001795059],"category_scores_gemma":[0.000004326531,0.0001487786,0.00005328672,0.0006791686,0.00006255796,0.0006991788,0.0001626475,0.000065198,0.000002022379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001076164,"about_ca_system_score_gemma":0.000007689858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001591749,"about_ca_topic_score_gemma":0.00002269107,"domain_scores_codex":[0.9990101,0.00008711521,0.0002455084,0.0003755257,0.0001393585,0.0001424292],"domain_scores_gemma":[0.9994513,0.0000705658,0.00007698411,0.0001951655,0.00009301509,0.0001129498],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001097891,0.00006662495,0.005786565,0.00003088313,0.0001163487,0.000001356548,0.001442407,0.0000544953,0.000241255,0.03911508,0.0001327724,0.9530111],"study_design_scores_gemma":[0.0001025125,0.00005660983,0.1158445,0.00002557101,0.00004743326,0.000009529776,0.00001906836,0.8824238,0.0002193295,0.001040922,0.00004970108,0.0001610505],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2499472,0.0000799918,0.7493882,0.0002746074,0.0000380711,0.0001212151,0.000003094127,0.0001342606,0.00001328843],"genre_scores_gemma":[0.977258,0.0001048693,0.02219839,0.0003553911,0.00004297169,0.00001594992,0.000006947203,0.000007107497,0.00001042726],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.95285,"threshold_uncertainty_score":0.6217703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01911344435319269,"score_gpt":0.2654726487527829,"score_spread":0.2463592043995902,"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."}}