{"id":"W3106439297","doi":"10.1115/detc2001/dac-21013","title":"Posture Prediction Versus Inverse Kinematics","year":2001,"lang":"en","type":"article","venue":"","topic":"Hand Gesture Recognition Systems","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Kinematics; Inverse kinematics; Torso; Position (finance); Computer science; Degrees of freedom (physics and chemistry); Point (geometry); Orientation (vector space); Inverse; Robot kinematics; Kinematics equations; Control theory (sociology); Artificial intelligence; Robot; Mathematics; Geometry; Mobile 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001295026,0.00007353518,0.00008010483,0.00006496929,0.00005275378,0.00007976878,0.0002443675,0.00006080645,0.00007609483],"category_scores_gemma":[0.00003632949,0.00005826227,0.00003412065,0.0003209573,0.00001020683,0.0003175775,0.00005643776,0.00006788813,0.0005648652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002248108,"about_ca_system_score_gemma":0.0000215296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001045035,"about_ca_topic_score_gemma":0.00003098251,"domain_scores_codex":[0.9993125,0.00003476234,0.000145123,0.0001656608,0.0002095966,0.0001323599],"domain_scores_gemma":[0.9994602,0.00005397537,0.00003994519,0.0002866703,0.00008278682,0.00007638277],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002444327,0.0008537754,0.0182539,0.000230371,0.0004324049,0.0004757714,0.01039077,0.001918557,0.007261458,0.1773103,0.510433,0.2721952],"study_design_scores_gemma":[0.009588011,0.001136281,0.01926528,0.0001991585,0.0000684952,0.0009244395,0.001349127,0.3514214,0.002935584,0.006174448,0.6056721,0.001265748],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.027907,0.00003260468,0.7892984,0.001988382,0.002862262,0.0002296225,0.000002707891,0.0006470488,0.177032],"genre_scores_gemma":[0.9171969,0.00006416837,0.07252516,0.001222371,0.0007358181,0.00003109737,0.00001616471,0.00001548528,0.008192894],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8892899,"threshold_uncertainty_score":0.7260388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03276094881377407,"score_gpt":0.2530729577250889,"score_spread":0.2203120089113148,"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."}}