{"id":"W1522338260","doi":"10.1007/978-3-642-33718-5_27","title":"Fast Fusion Moves for Multi-model Estimation","year":2012,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Control Systems and Identification","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Fusion; Estimation; Artificial intelligence; Algorithm; Systems engineering","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":[0.0002838649,0.0002058625,0.0002111304,0.0002477586,0.00009014876,0.0001243237,0.0002910706,0.0001703765,0.000005254468],"category_scores_gemma":[0.00002522733,0.0001950226,0.00006184625,0.00007130316,0.0000639115,0.0002493621,0.00005767378,0.000162142,0.00001781391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001572218,"about_ca_system_score_gemma":0.00003668993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007160624,"about_ca_topic_score_gemma":0.00005391982,"domain_scores_codex":[0.9989535,0.000003103317,0.0002625565,0.0003157421,0.0002210913,0.0002440167],"domain_scores_gemma":[0.9994085,0.00006268312,0.00007382592,0.0003139551,0.00008573541,0.00005524125],"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":[9.964082e-7,0.000003278824,0.000002572149,0.00005000259,0.000002323275,1.32707e-7,0.0001871921,0.5669727,0.001954975,0.0005185817,0.00001046676,0.4302967],"study_design_scores_gemma":[0.0001571305,0.000009559011,0.00008496884,0.0001404958,0.000007480299,0.000002345676,6.046545e-8,0.9935587,0.0005882484,0.00489599,0.0003441379,0.000210896],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.000143978,0.0007456286,0.9969677,0.00003189204,0.001243134,0.0004600956,0.00001204558,0.0001132497,0.0002822992],"genre_scores_gemma":[0.6211045,0.0000357272,0.3775749,0.00005927017,0.000532158,0.00003807538,0.00003039273,0.00005170589,0.0005732663],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6209605,"threshold_uncertainty_score":0.795279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02345135205213156,"score_gpt":0.2448142502144149,"score_spread":0.2213628981622834,"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."}}