{"id":"W2166209331","doi":"10.1109/robot.1998.677031","title":"Automatic orienting of polyhedra through step devices","year":2002,"lang":"en","type":"article","venue":"","topic":"Robot Manipulation and Learning","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Polyhedron; Orientation (vector space); Sequence (biology); Regular polygon; Computer science; Algorithm; Conveyor belt; Center of mass (relativistic); Center (category theory); Geometry; Combinatorics; Mathematics; Physics; Engineering; Crystallography; Mechanical engineering","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0000344412,0.00005556827,0.00008338501,0.00002992359,0.00002543015,0.00001388673,0.00004990166,0.00002457492,0.00366172],"category_scores_gemma":[0.00001235436,0.00005133474,0.00002514552,0.0001247489,0.000007059793,0.0001435919,0.000008773012,0.00005048767,0.0001534374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008176016,"about_ca_system_score_gemma":7.682397e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001589869,"about_ca_topic_score_gemma":0.000006615208,"domain_scores_codex":[0.9996021,0.000008276554,0.0001554115,0.00005244724,0.00008174413,0.0001000467],"domain_scores_gemma":[0.9998351,0.00002689656,0.0000236485,0.00008680478,0.00001132224,0.00001621305],"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":[0.000001046868,0.00007176442,0.03928008,0.0008825487,0.0001555125,0.000006893438,0.009501223,0.793657,0.003622184,0.02028739,0.01033702,0.1221973],"study_design_scores_gemma":[0.00008513295,0.00000503188,0.004750781,0.00002202301,0.000004790861,0.000001445991,0.0002119855,0.9904661,0.0004516499,0.00001325459,0.003920788,0.00006703724],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5478809,0.0005581974,0.1299225,0.00007741299,0.0003189222,0.0001041351,1.563493e-7,0.0009999314,0.3201378],"genre_scores_gemma":[0.9892319,0.00000564842,0.00987319,0.00003088562,0.00002555966,0.000001208139,7.038811e-7,0.0000119832,0.0008189232],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4413509,"threshold_uncertainty_score":0.9972491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03002082000555846,"score_gpt":0.2271795228801332,"score_spread":0.1971587028745748,"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."}}