{"id":"W2071852710","doi":"10.1177/027836402761393360","title":"On Fitted Stratified and Semi-Stratified Geometric Manipulation Planning with Fingertip Relocations","year":2002,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Robot Manipulation and Learning","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Kinematics; Object (grammar); Computation; Computer science; Motion planning; Simulation; Computer vision; Algorithm; Artificial intelligence; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002914676,0.0004614556,0.0004505833,0.0002901489,0.0002792738,0.0005223904,0.0005569747,0.0003320169,0.001562568],"category_scores_gemma":[0.0008226654,0.0003548203,0.0005505953,0.0003715845,0.0007173442,0.0009795476,0.0008508238,0.0004257269,0.0004166549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004367401,"about_ca_system_score_gemma":0.0008097733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002342589,"about_ca_topic_score_gemma":0.00261829,"domain_scores_codex":[0.9995995,0.00007048745,0.00003262471,0.00008398498,0.0001594883,0.0000538995],"domain_scores_gemma":[0.9996831,0.00009666813,0.00005863648,0.00008219858,0.00005298669,0.00002638287],"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":[0.000362844,0.0001074386,0.001413063,0.0002365538,0.00005418405,0.0002833022,0.0005808492,0.5160161,0.08309823,0.06465852,0.001000941,0.332188],"study_design_scores_gemma":[0.00004705584,0.0003519848,0.001166743,0.00002816137,0.00003074758,0.0002224079,0.00009458411,0.9404518,0.02263162,0.02500314,0.009911055,0.00006060153],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01507261,0.00006072472,0.9835432,0.00001548336,0.00000572459,0.00003417567,0.00001514917,0.0002102205,0.001042844],"genre_scores_gemma":[0.3659313,0.0001838248,0.6309515,0.00003503283,0.000008689297,0.0001661632,0.000114272,0.00008016564,0.00252912],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002342589,"threshold_uncertainty_score":0.005227327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1406591427382193,"score_gpt":0.3427199184446099,"score_spread":0.2020607757063906,"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."}}