{"id":"W1979953055","doi":"10.2316/journal.206.2007.4.206-3059","title":"AN ART GALLERY-BASED APPROACH: ROADMAP CONSTRUCTION AND PATH PLANNING IN GLOBAL ENVIRONMENTS","year":2007,"lang":"en","type":"article","venue":"International Journal of Robotics and Automation","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Motion planning; Plan (archaeology); Computer science; Path (computing); Robot; Artificial intelligence; Computer vision; Mathematical optimization; Geography; Mathematics; Programming language; Archaeology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005437969,0.001364599,0.001339006,0.001681785,0.001153234,0.001550273,0.002485974,0.001918237,0.004230812],"category_scores_gemma":[0.001712691,0.0009257716,0.001310769,0.001206535,0.0008857821,0.002524488,0.002564671,0.001390712,0.00166942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005625002,"about_ca_system_score_gemma":0.001029958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003323789,"about_ca_topic_score_gemma":0.005787216,"domain_scores_codex":[0.9992597,0.0001456176,0.00002773634,0.0002459699,0.0002486693,0.00007226461],"domain_scores_gemma":[0.9993494,0.000188468,0.00004817467,0.0002544142,0.000118811,0.00004079476],"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":[0.0002297472,0.0001570551,0.0005687704,0.0002977093,0.0001835315,0.000197953,0.0003327208,0.3470945,0.02075384,0.01925463,0.008398482,0.602531],"study_design_scores_gemma":[0.00002385485,0.00007746342,0.0003866687,0.00002027346,0.00003354676,0.0002299762,0.00006377414,0.9650158,0.01301617,0.01232821,0.008756449,0.0000477968],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005035354,0.0001435551,0.9910867,0.00006487814,0.00002455395,0.00005156932,0.00005667996,0.001401461,0.002135214],"genre_scores_gemma":[0.08371295,0.0001849489,0.9121445,0.0000644492,0.00002089809,0.0001114203,0.0003074435,0.0002830509,0.003170427],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004230812,"threshold_uncertainty_score":0.01415342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0136949532214859,"score_gpt":0.271157602140425,"score_spread":0.2574626489189391,"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."}}