{"id":"W2973282670","doi":"","title":"ACM SIGGRAPH ASIA 2010 Posters","year":2010,"lang":"en","type":"article","venue":"","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Center (category theory); Convention; Computer graphics (images); Multimedia; Work (physics); Engineering; Political science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001178743,0.001757509,0.0007753026,0.00200547,0.001584586,0.004582011,0.001183248,0.001601075,0.3364928],"category_scores_gemma":[0.002248083,0.000542748,0.0008058134,0.001989204,0.000396714,0.00325476,0.001602575,0.003445053,0.2283467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009725278,"about_ca_system_score_gemma":0.001370824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003332831,"about_ca_topic_score_gemma":0.00820637,"domain_scores_codex":[0.9993989,0.0000653447,0.00003565019,0.0001512417,0.0002522329,0.0000966623],"domain_scores_gemma":[0.9981484,0.0001798867,0.00005114385,0.0001817369,0.0009749327,0.0004639658],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004974865,0.00003683478,0.00006404586,0.00006445516,0.00000695549,0.0000437966,0.00001606245,0.0001223543,0.0003645715,0.001175854,0.9652173,0.03283792],"study_design_scores_gemma":[0.00003087602,0.00002289451,0.0002948564,0.00007819113,0.00001246621,0.0001062193,0.00007170146,0.0004239876,0.0002494884,0.001683185,0.9970155,0.00001065785],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004824623,0.02303325,0.01836502,0.02359962,0.1563892,0.0006058344,0.01012904,0.007546728,0.7555068],"genre_scores_gemma":[0.008035737,0.01268181,0.005258343,0.002342059,0.01129264,0.0001976278,0.008074981,0.0009207861,0.951196],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3364928,"threshold_uncertainty_score":0.9464125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05241233366772052,"score_gpt":0.275711824700632,"score_spread":0.2232994910329115,"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."}}