{"id":"W6982549847","doi":"","title":"An information theoretical incremental approach to sensor-based motion planning for eye-in-hand systems","year":2000,"lang":"en","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Motion (physics); Motion planning; Context (archaeology); Complete information; Information system; Stability (learning theory)","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":[0.0009478547,0.0008236215,0.001185836,0.001178719,0.0008265593,0.001379943,0.002422454,0.001155095,0.005347523],"category_scores_gemma":[0.005047133,0.0008856108,0.0008991864,0.001470358,0.001172011,0.002302188,0.001907862,0.001290004,0.000508611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001638701,"about_ca_system_score_gemma":0.00218995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02612114,"about_ca_topic_score_gemma":0.02386946,"domain_scores_codex":[0.9994509,0.0001251413,0.00003844064,0.0001001141,0.0002288959,0.00005649051],"domain_scores_gemma":[0.9983252,0.001237663,0.00006148168,0.0001119761,0.000232189,0.0000314496],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005598566,0.00003668696,0.0001617669,0.00009244376,0.00001999038,0.0000626816,0.00008784602,0.8856459,0.0006943317,0.04350509,0.002041078,0.06759631],"study_design_scores_gemma":[0.000004335783,0.000008877878,0.00003466339,0.000004006801,0.000004718505,0.000006921237,0.000006269799,0.9852372,0.0001832692,0.01416794,0.0003386126,0.000003202801],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00288025,0.0001383823,0.9933049,0.0001181358,0.00002246178,0.00003566841,0.00007795609,0.0002180783,0.003204188],"genre_scores_gemma":[0.4003472,0.0005559319,0.5915521,0.0001197615,0.0001029575,0.0003704393,0.0004337062,0.0002168362,0.006301022],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02612114,"threshold_uncertainty_score":0.05193818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002958099971736339,"score_gpt":0.1456908900483216,"score_spread":0.1427327900765853,"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."}}