{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003955269,0.00007045038,0.00005003652,0.0001255853,0.00006666555,0.00001105961,0.00009229076,0.00004872161,0.000469286],"category_scores_gemma":[0.000006018918,0.00005315409,0.00005635289,0.0001373206,0.0000222547,0.0001013577,4.994986e-7,0.00007912094,0.0002994536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001669513,"about_ca_system_score_gemma":0.000003154609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.048417e-7,"about_ca_topic_score_gemma":0.00001643248,"domain_scores_codex":[0.9996412,0.000008670715,0.00009020765,0.00007575183,0.00008349007,0.0001006316],"domain_scores_gemma":[0.9996704,0.00004220196,0.000006640301,0.0002214605,0.00001550467,0.00004382682],"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":[0.00002312908,0.0002282715,0.0002523564,0.00008229952,0.0001757277,0.000006066256,0.0005817193,0.003600832,0.04644006,0.03175392,0.005341333,0.9115143],"study_design_scores_gemma":[0.007358031,0.0008082105,0.06967568,0.0007998738,0.0002453621,0.00006809201,0.0002883879,0.0174956,0.176235,0.183781,0.539992,0.00325272],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06831919,0.00001949528,0.9263926,0.001031259,0.000376324,0.00007160382,0.0000188678,0.0007088631,0.003061809],"genre_scores_gemma":[0.9987517,0.0002100563,0.0005607886,0.0001179631,0.00002454468,0.00001041336,0.000001004701,0.00001678698,0.0003067704],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9304325,"threshold_uncertainty_score":0.5138352,"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."}}