{"id":"W4368755539","doi":"10.1145/3588432.3591541","title":"CALM: Conditional Adversarial Latent Models  for Directable Virtual Characters","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Human Pose and Action Recognition","field":"Computer Science","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"Research Canada; Simon Fraser University","funders":"","keywords":"Computer science; Adversarial system; Representation (politics); Motion (physics); Character (mathematics); Artificial intelligence; Task (project management); Imitation; Trajectory; Control (management); Encoder; Key (lock); 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":[],"consensus_categories":[],"category_scores_codex":[0.0002487666,0.0002215475,0.0002639411,0.0001995399,0.0001699044,0.0002828573,0.0005338287,0.0002294389,0.0001255742],"category_scores_gemma":[0.00001673403,0.0002190128,0.0002377846,0.0000875483,0.00002638814,0.0005342028,0.0005489433,0.000281386,0.0003631458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001009551,"about_ca_system_score_gemma":0.0001958892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007624664,"about_ca_topic_score_gemma":0.00001428041,"domain_scores_codex":[0.9983644,0.00003992962,0.0003125084,0.0006680152,0.0003180219,0.0002971306],"domain_scores_gemma":[0.9990614,0.0001534894,0.0001473492,0.00034965,0.0001795573,0.0001085651],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001574631,0.000453725,0.00001611701,0.0002217361,0.0006823446,0.00003563752,0.001298944,0.1057296,0.0005502629,0.7601967,0.09328186,0.03737561],"study_design_scores_gemma":[0.00068989,0.00009503203,0.0001657877,0.00007210161,0.00003063228,0.00000451297,0.00001719108,0.7285796,0.0009193605,0.2665532,0.002423969,0.0004487487],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004228227,0.000005003333,0.9868977,0.001212151,0.004229591,0.0005923584,0.0003119039,0.0007463407,0.001776738],"genre_scores_gemma":[0.9366351,0.00007327266,0.01990634,0.001773862,0.00218098,0.001186766,0.004548464,0.00007907087,0.03361618],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9669914,"threshold_uncertainty_score":0.8931084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08461080874364349,"score_gpt":0.2810145797396992,"score_spread":0.1964037709960557,"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."}}