{"id":"W2960202457","doi":"10.1145/3306346.3322941","title":"PlanIT","year":2019,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Multimodal Machine Learning Applications","field":"Computer Science","cited_by":207,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"FP7 Ideas: European Research Council; National Science Foundation","keywords":"Computer science; Scene graph; Graph; Relation (database); Generative model; Artificial intelligence; Spatial relation; Representation (politics); Theoretical computer science; Set (abstract data type); Generative grammar; Data mining; Rendering (computer graphics); Programming language","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001092246,0.0001056166,0.00009000828,0.0001965081,0.0001570138,0.00006506983,0.001064958,0.00006687192,0.0001151219],"category_scores_gemma":[0.00001295256,0.000104081,0.00007970755,0.0006365663,0.00002362798,0.0001864428,0.00001139038,0.0003659791,0.001233457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000153891,"about_ca_system_score_gemma":0.0000259695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000976817,"about_ca_topic_score_gemma":0.00001476568,"domain_scores_codex":[0.9991487,0.00003644581,0.0001251948,0.0003090932,0.0002072486,0.0001733274],"domain_scores_gemma":[0.9982659,0.0002155042,0.00003843966,0.001370213,0.00004065158,0.00006925305],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003034145,0.000979653,0.01668819,0.00005754883,0.0001670077,0.000008001141,0.001401181,0.02694159,0.003366309,0.6787952,0.0006052093,0.2709598],"study_design_scores_gemma":[0.002763243,0.0009527609,0.2585534,0.00009767459,0.00006677191,0.00010503,0.00009541184,0.4757195,0.005804475,0.1514427,0.1025968,0.001802337],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05737826,0.0000105898,0.9353188,0.004316165,0.0002425323,0.0001981294,0.000005811386,0.0004186365,0.002111081],"genre_scores_gemma":[0.9571373,0.0000140847,0.04161813,0.0008827762,0.00001149027,0.0000331557,0.000002403083,0.00001094262,0.0002897508],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.899759,"threshold_uncertainty_score":0.9995442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01302205938873805,"score_gpt":0.2537439968164512,"score_spread":0.2407219374277132,"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."}}