{"id":"W3014256205","doi":"10.1145/3261442","title":"Session details: Sketching & writing","year":2016,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Artificial Intelligence in Games","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Session (web analytics); Computer science; Computer graphics (images); Multimedia; Engineering drawing; World Wide Web; 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":[0.0003789841,0.0001634283,0.0001306975,0.0002787203,0.0004529885,0.0001299969,0.001160678,0.0001094953,0.00007014006],"category_scores_gemma":[0.0001397366,0.0001189214,0.0001423095,0.0006309198,0.0001050915,0.0008261268,0.00002564716,0.0002542617,0.0002940694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004030385,"about_ca_system_score_gemma":0.00004322834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000322951,"about_ca_topic_score_gemma":0.0001725728,"domain_scores_codex":[0.9984844,0.00009423491,0.0003151541,0.0004249885,0.0003427603,0.0003385108],"domain_scores_gemma":[0.9977614,0.0007826948,0.00007868587,0.001159477,0.0001039311,0.0001138719],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000008758573,0.0001194888,0.0009234207,0.000008078682,0.00002426683,0.000006459811,0.0006477872,0.0001782443,0.008303449,0.02336544,0.000110024,0.9663046],"study_design_scores_gemma":[0.0007170191,0.0004518471,0.003917941,0.001290541,0.00007936831,0.0001375074,0.0006091286,0.01210869,0.2375639,0.7035944,0.03747036,0.002059253],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05260003,0.0000352248,0.940845,0.005288968,0.0004961555,0.00009487745,0.000003535707,0.0003743944,0.0002618296],"genre_scores_gemma":[0.941012,0.0001587754,0.05798766,0.0005389001,0.00004679789,0.00002018268,3.274007e-7,0.00001593497,0.0002194135],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9642453,"threshold_uncertainty_score":0.4849474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05533034806815534,"score_gpt":0.3113117176316912,"score_spread":0.2559813695635359,"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."}}