{"id":"W3083703704","doi":"10.1145/3414685.3417819","title":"Complementary dynamics","year":2020,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Human Motion and Animation","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Connaught Fund; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Undo; Computer science; Animation; Rigid body dynamics; Dynamics (music); Motion (physics); Complement (music); Subspace topology; Tracking (education); Space (punctuation); Segmentation; Deformation (meteorology); Rigid body; Computer graphics (images); Computer vision; Classical mechanics; Physics; Artificial intelligence; Acoustics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006986167,0.001194283,0.0008092422,0.001354561,0.0009523251,0.002010038,0.00142166,0.00147751,0.02486061],"category_scores_gemma":[0.002941052,0.0007139365,0.001289016,0.0006064172,0.001817206,0.002374473,0.005177453,0.001959886,0.004048839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007452236,"about_ca_system_score_gemma":0.0008555301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001277027,"about_ca_topic_score_gemma":0.001976258,"domain_scores_codex":[0.9992404,0.0001448042,0.00002521271,0.000183609,0.0003304741,0.00007554171],"domain_scores_gemma":[0.9992433,0.0002044388,0.0000878123,0.0002417598,0.0001239661,0.00009872945],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001081923,0.0000792041,0.0008885286,0.0001975132,0.00006669833,0.0002619165,0.0002974887,0.1859258,0.01295145,0.6869414,0.01088273,0.1013991],"study_design_scores_gemma":[0.00002342817,0.00006529379,0.0002740792,0.00004678346,0.00002213982,0.0002770093,0.00005533723,0.7452905,0.002853666,0.2063153,0.04473595,0.00004049126],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007662668,0.0001629173,0.9605277,0.0003068282,0.0002364134,0.00006177771,0.0002089477,0.0005987636,0.030234],"genre_scores_gemma":[0.4231149,0.0007148707,0.5116258,0.0007012401,0.0003430893,0.0004182237,0.0007701414,0.001395989,0.06091591],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02486061,"threshold_uncertainty_score":0.08316708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03104201072107346,"score_gpt":0.2319341338108924,"score_spread":0.200892123089819,"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."}}