{"id":"W14859024","doi":"10.1007/978-0-387-09538-7_4","title":"Obstacle Avoidance Using Harmonic Potential Functions","year":2008,"lang":"en","type":"book-chapter","venue":"Autonomous Robots","topic":"Inertial Sensor and Navigation","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Obstacle avoidance; Obstacle; Computer vision; Computer science; Artificial intelligence; Geography; Mobile robot","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00002895019,0.0003490767,0.0003097637,0.0001232571,0.0002030916,0.00003346091,0.0001275005,0.000369069,0.0003273571],"category_scores_gemma":[0.000003437072,0.0004138614,0.0001932326,0.00003914205,0.00005187079,0.0001272636,0.00002847597,0.0004660342,0.0007022374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003585391,"about_ca_system_score_gemma":0.00005823927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004982645,"about_ca_topic_score_gemma":0.000012688,"domain_scores_codex":[0.9988771,0.000006493821,0.0003402246,0.0002814999,0.0001832486,0.0003114273],"domain_scores_gemma":[0.999447,0.00001407985,0.00007846368,0.0003116546,0.00006072502,0.00008806543],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001269481,0.00001584547,0.000003088016,0.00007833923,0.00020905,0.0001670935,0.0001638584,0.9607552,0.01084678,0.0009828015,0.008074839,0.01869036],"study_design_scores_gemma":[0.001226856,0.0001352893,0.0005001479,0.0004827784,0.0005958183,0.0009253026,0.00001393844,0.454845,0.007426198,0.001079691,0.5295652,0.003203816],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02333642,0.01403616,0.0709057,0.0001131992,0.01104959,0.001281602,0.0002794486,0.003606449,0.8753914],"genre_scores_gemma":[0.5740876,0.0008567533,0.001620965,0.00007766223,0.001726571,0.00001300218,0.0003238039,0.0003819146,0.4209118],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5507511,"threshold_uncertainty_score":0.9998313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01970624877380599,"score_gpt":0.2029038146906065,"score_spread":0.1831975659168005,"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."}}