{"id":"W4313001420","doi":"10.1109/iros47612.2022.9981588","title":"Behaviour Learning with Adaptive Motif Discovery and Interacting Multiple Model","year":2022,"lang":"en","type":"article","venue":"2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","topic":"Autonomous Vehicle Technology and Safety","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Interpretability; Motif (music); Computer science; Artificial intelligence; Estimator; Machine learning; Entropy (arrow of time); Gaussian; Mathematics; Statistics","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":[0.0009743116,0.0007624297,0.0009423923,0.0006516091,0.0002733949,0.0005740826,0.002024665,0.001157433,0.00116204],"category_scores_gemma":[0.004471219,0.0005599782,0.001013806,0.0005026646,0.0006756242,0.0008628117,0.001331118,0.00166994,0.0003812011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006437068,"about_ca_system_score_gemma":0.0008531392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003478211,"about_ca_topic_score_gemma":0.004231658,"domain_scores_codex":[0.99938,0.0001801024,0.00002868092,0.0002076484,0.0001294214,0.00007413102],"domain_scores_gemma":[0.998353,0.0008707303,0.0002464111,0.000210241,0.0002122837,0.0001073571],"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":[0.0001898109,0.0001962355,0.004403414,0.0001072967,0.0001323571,0.0001636245,0.0001295472,0.8238313,0.009661649,0.007545933,0.0008440376,0.1527948],"study_design_scores_gemma":[0.000004395289,0.00002175536,0.0001390285,0.000001801969,0.000002728777,0.00001218329,0.000002863565,0.997318,0.0004893333,0.001911097,0.00009332255,0.000003544025],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02347672,0.00007660041,0.9751695,0.00009652468,0.00001432383,0.00002398601,0.00003787308,0.0007309244,0.0003735569],"genre_scores_gemma":[0.6914594,0.00007106177,0.3055722,0.0001692988,0.00003041691,0.000172487,0.0002756433,0.0001738275,0.002075698],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003478211,"threshold_uncertainty_score":0.006915927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03427360411468759,"score_gpt":0.240893922422245,"score_spread":0.2066203183075574,"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."}}