{"id":"W2090977515","doi":"10.1007/s00371-007-0141-8","title":"Motion learning-based framework for unarticulated shape animation","year":2007,"lang":"en","type":"article","venue":"The Visual Computer","topic":"Human Motion and Animation","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Polygon mesh; Embedding; Animation; Computer science; Motion (physics); Space (punctuation); Point (geometry); Key (lock); Computer graphics; Computer animation; Computer graphics (images); Function (biology); Artificial intelligence; Computer vision; Algorithm; Mathematics; Geometry","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":[0.000604275,0.0007297568,0.001034804,0.001002557,0.0004826042,0.0008012868,0.002489993,0.001191357,0.004932056],"category_scores_gemma":[0.001202448,0.0004897247,0.0009214403,0.0008097536,0.0006357957,0.001065902,0.001181937,0.001235321,0.001047995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009997416,"about_ca_system_score_gemma":0.0009576867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00960971,"about_ca_topic_score_gemma":0.01054948,"domain_scores_codex":[0.99971,0.00005181438,0.00001227337,0.00008090316,0.0001051803,0.00003972318],"domain_scores_gemma":[0.9997346,0.00007212762,0.00002048457,0.00005024128,0.00009297015,0.00002952674],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001801109,0.0001306498,0.0003946399,0.00008745813,0.00007746942,0.00009162362,0.00006181256,0.5115005,0.02123357,0.02818136,0.002849294,0.4352115],"study_design_scores_gemma":[0.000004090558,0.00001000613,0.00004011862,0.000002501746,0.000003609598,0.00001240049,0.000002333222,0.9955844,0.001358558,0.002379735,0.0005991134,0.000003092512],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002223445,0.00007210967,0.996525,0.00002927593,0.00001554327,0.00001854413,0.00002578224,0.0005965678,0.0004938103],"genre_scores_gemma":[0.2015944,0.0003780461,0.7916278,0.0001265209,0.00006649861,0.0001663507,0.0003592792,0.0003480368,0.005332893],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00960971,"threshold_uncertainty_score":0.01910752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01798293072493367,"score_gpt":0.2840968433601749,"score_spread":0.2661139126352412,"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."}}