{"id":"W2503304684","doi":"10.1109/robot.1998.677098","title":"Automatic path planning for coordinate measuring machines","year":2002,"lang":"en","type":"article","venue":"","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Motion planning; Computer science; Heuristics; Octree; Robustness (evolution); Cartesian coordinate system; Grid; Representation (politics); Collision detection; Path (computing); Rendering (computer graphics); Any-angle path planning; Algorithm; Computer vision; Artificial intelligence; Collision; Robot; Mathematics","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":[0.0003152135,0.0001474426,0.000179485,0.00009976143,0.0001790978,0.000159068,0.0006689694,0.00003511431,0.00003189679],"category_scores_gemma":[0.0001175245,0.0001250729,0.0000608594,0.0002119914,0.00001572736,0.0003435897,0.0001148121,0.00008510504,0.00008750065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002902743,"about_ca_system_score_gemma":0.000009445093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000876001,"about_ca_topic_score_gemma":9.058143e-8,"domain_scores_codex":[0.9988384,0.00003254569,0.0002177542,0.000323727,0.000222238,0.0003653022],"domain_scores_gemma":[0.9991919,0.0001995625,0.00007410339,0.000391453,0.00005012469,0.00009286076],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000005226251,0.0003274021,0.01085003,0.0003769365,0.0001789246,0.0004137874,0.007964507,0.05981723,0.001095541,0.02785026,0.07220134,0.8189188],"study_design_scores_gemma":[0.000298421,0.00004979279,0.001046221,0.0000596519,0.000004638581,0.00005250371,0.00001147957,0.9966435,0.0002072679,0.0009303152,0.0005147352,0.0001814062],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005928487,0.0002078098,0.986275,0.0005733941,0.0004561863,0.0001969501,0.000001340588,0.0008185371,0.005542366],"genre_scores_gemma":[0.2755863,0.000001026121,0.7226195,0.0002246192,0.00006959748,0.00003593219,0.000001026107,0.00001346474,0.001448516],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9368263,"threshold_uncertainty_score":0.5100325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06417665733720057,"score_gpt":0.2636881923981832,"score_spread":0.1995115350609826,"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."}}