{"id":"W33587638","doi":"10.1021/acs.jpclett.1c00121","title":"Topological mapping with weak sensory data","year":2007,"lang":"en","type":"article","venue":"National Conference on Artificial Intelligence","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Science and Engineering Research Board; Vetenskapsrådet","keywords":"Vertex (graph theory); Computer science; Robot; Bounded function; Topology (electrical circuits); Heuristic; occam; Process (computing); Set (abstract data type); Theoretical computer science; Algorithm; Artificial intelligence; Mathematics; Combinatorics","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":[0.0004482442,0.0001399954,0.0001194877,0.000138709,0.00009566107,0.00007107051,0.0002875544,0.00009612299,0.0002585549],"category_scores_gemma":[0.0001510957,0.0001231193,0.00001762833,0.0002597713,0.00009946999,0.0001239213,0.00003022273,0.0002084024,0.0002048267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007107564,"about_ca_system_score_gemma":0.00005617203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009498666,"about_ca_topic_score_gemma":0.0001048232,"domain_scores_codex":[0.9986972,0.0000202351,0.000302741,0.000273739,0.0004678986,0.0002382219],"domain_scores_gemma":[0.9991854,0.000176674,0.00003686755,0.0002405654,0.0002788634,0.00008156053],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005102265,0.00005940137,0.00008495864,0.00001197914,0.0000193165,0.00001417833,0.00008884891,0.2233756,0.003654656,0.7246581,0.0001943549,0.04778755],"study_design_scores_gemma":[0.00002939256,0.00007082496,0.000667268,0.00003932825,0.0000047842,0.000008067831,0.0004785392,0.9580509,0.01707256,0.02176074,0.001554058,0.0002635556],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01604773,0.00001762713,0.9390507,0.000389548,0.0002341159,0.0001279851,0.00002983331,0.0001788946,0.04392356],"genre_scores_gemma":[0.994752,0.00002153567,0.004679598,0.000166464,0.0001696235,0.00000224068,0.00009221833,0.00001431655,0.0001019551],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9787043,"threshold_uncertainty_score":0.502066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2422840541084506,"score_gpt":0.3409676202144604,"score_spread":0.09868356610600978,"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."}}