{"id":"W4386142062","doi":"10.1145/3606935","title":"Too Stiff, Too Strong, Too Smart","year":2023,"lang":"en","type":"article","venue":"Proceedings of the ACM on Computer Graphics and Interactive Techniques","topic":"Human Motion and Animation","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; McGill University","funders":"","keywords":"Naturalness; Computer science; Motion (physics); Set (abstract data type); Artificial intelligence","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":[0.002843112,0.0009573085,0.0005178608,0.0004732675,0.0005761008,0.0020378,0.0009217664,0.001215518,0.002925669],"category_scores_gemma":[0.01593771,0.0004668256,0.0003984369,0.0002446542,0.002014588,0.002409694,0.001688444,0.001537045,0.0008848715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006149746,"about_ca_system_score_gemma":0.000514288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009731575,"about_ca_topic_score_gemma":0.001855081,"domain_scores_codex":[0.9983711,0.000602476,0.0001462833,0.0003689002,0.0003695785,0.0001418084],"domain_scores_gemma":[0.9909655,0.004515609,0.001206756,0.002077947,0.0007412788,0.0004929669],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001845086,0.0004574872,0.02522385,0.001758186,0.0003301589,0.0007299068,0.001291609,0.2697866,0.2351779,0.04421787,0.007359076,0.4118222],"study_design_scores_gemma":[0.0001696032,0.001414635,0.01735918,0.0003385427,0.0001994347,0.001093609,0.0007593363,0.8347091,0.06774151,0.05786113,0.01810358,0.0002502789],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3357268,0.001408411,0.6383547,0.002124501,0.0004606184,0.000218867,0.0003050304,0.003437467,0.01796358],"genre_scores_gemma":[0.9117551,0.0003851106,0.0833718,0.0006292468,0.00005615488,0.0001153868,0.0001708424,0.0003532573,0.003163065],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002925669,"threshold_uncertainty_score":0.01503599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01823196878013053,"score_gpt":0.2489605771677603,"score_spread":0.2307286083876297,"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."}}