{"id":"W2473931607","doi":"10.1145/2897824.2925970","title":"SketchiMo","year":2016,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Human Motion and Animation","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"National Research Foundation","keywords":"Sketch; Viewport; Computer science; Representation (politics); Motion (physics); Set (abstract data type); Space (punctuation); Range (aeronautics); Character animation; Artificial intelligence; Computer graphics (images); Computer vision; Animation; Algorithm; Programming language; Computer animation","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":[0.0006551947,0.001425731,0.0007391953,0.0007439985,0.0005415794,0.002639755,0.002264014,0.001371457,0.04040034],"category_scores_gemma":[0.003459374,0.0006544499,0.001170874,0.0004135806,0.0007272591,0.002398811,0.003926337,0.001842309,0.00893575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003907534,"about_ca_system_score_gemma":0.0004083496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007170546,"about_ca_topic_score_gemma":0.001365036,"domain_scores_codex":[0.9993106,0.0001136385,0.0000450513,0.000171804,0.0003037672,0.00005518705],"domain_scores_gemma":[0.9992076,0.000226007,0.00003750356,0.0002859583,0.0001342529,0.0001087631],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008429104,0.000172033,0.001028348,0.001818691,0.0002505866,0.0009014507,0.001221659,0.06221266,0.105166,0.1195959,0.07127381,0.635516],"study_design_scores_gemma":[0.0001801521,0.0003076833,0.0006824099,0.0002083113,0.00009524416,0.001424673,0.00025609,0.3129514,0.05662692,0.04462573,0.5824526,0.0001889076],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.005472907,0.0009916847,0.9471869,0.0001985185,0.0003863267,0.0001770851,0.000867216,0.02197761,0.02274177],"genre_scores_gemma":[0.1932861,0.001980064,0.7373397,0.0005739414,0.0002580142,0.0006386804,0.004107484,0.008346957,0.05346902],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.04040034,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01678253991087851,"score_gpt":0.2174845503977452,"score_spread":0.2007020104868667,"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."}}