{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001584249,0.000143536,0.0001492006,0.000229556,0.00007631031,0.00009006209,0.0004248942,0.00006066044,0.000006550979],"category_scores_gemma":[0.00005274973,0.0001116725,0.0000791903,0.0002691039,0.00005423534,0.0002651318,0.0002846935,0.0002410923,0.00000473089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002360568,"about_ca_system_score_gemma":0.000003040308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004608695,"about_ca_topic_score_gemma":6.151058e-7,"domain_scores_codex":[0.9993559,0.000004640817,0.0001891223,0.0001623207,0.0001489469,0.0001390607],"domain_scores_gemma":[0.9995481,0.00004886592,0.00007287427,0.0001563304,0.0001398938,0.000033952],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00009058504,0.0001872099,0.006439448,0.0007128127,0.0002862753,0.000001806934,0.003350963,0.00003226117,0.07573849,0.2952875,0.5079244,0.1099483],"study_design_scores_gemma":[0.0007422185,0.001376323,0.1522245,0.00157558,0.00008978014,0.00002538613,0.0004772627,0.1350266,0.537097,0.08463556,0.08552109,0.001208661],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893907,0.00001699877,0.00204361,0.000917691,0.0002909252,0.0003234,0.00001157427,0.001077135,0.005928003],"genre_scores_gemma":[0.9970803,0.0001349774,0.002239566,0.0002653376,0.00008662786,0.00002407137,0.000002972636,0.0000230913,0.0001430569],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4613585,"threshold_uncertainty_score":0.4553871,"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."}}