{"id":"W16696109","doi":"","title":"Autonomous Rover Navigation in Partially Known Terrain","year":2003,"lang":"en","type":"article","venue":"Harvard Heart Letter : From Harvard Medical School","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mobile robot; Terrain; Planner; Computer science; Motion planning; Software; Path (computing); Artificial intelligence; Robot; Real-time computing; Simulation; Engineering; Computer vision; Geography; Cartography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001728061,0.0004228489,0.0006019183,0.0001935776,0.0001631377,0.0003388773,0.001208852,0.0004458592,0.005114683],"category_scores_gemma":[0.002029029,0.0004054628,0.0001760594,0.0005680423,0.0001317759,0.0009512365,0.000267459,0.001300665,0.01485284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003210415,"about_ca_system_score_gemma":0.0008726462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004784594,"about_ca_topic_score_gemma":0.00004314688,"domain_scores_codex":[0.9945764,0.0007591467,0.000902441,0.001119491,0.001567073,0.001075473],"domain_scores_gemma":[0.9969643,0.0003954187,0.000148815,0.001139117,0.00008652471,0.001265792],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008188726,0.001309288,0.1416653,0.000108155,0.0002631658,0.005918593,0.003931159,0.002467282,0.009129112,0.006739975,0.7893254,0.03906073],"study_design_scores_gemma":[0.001893726,0.0001035972,0.07025002,0.0003862084,0.0000164851,0.0001234141,0.00001523605,0.05628565,0.001204772,0.001955119,0.8670626,0.0007031859],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09664568,0.00007493778,0.8583869,0.03362577,0.004924934,0.001174041,0.00003865784,0.00112085,0.004008249],"genre_scores_gemma":[0.4092852,0.0000217451,0.4718551,0.1141348,0.002754524,0.0003723635,0.0001757033,0.0001370818,0.001263425],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3865318,"threshold_uncertainty_score":0.9998397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01312806912019933,"score_gpt":0.2509311660868707,"score_spread":0.2378030969666714,"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."}}