{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007882133,0.001499701,0.0007003132,0.001129788,0.0009505751,0.00339281,0.003197519,0.001382824,0.07979538],"category_scores_gemma":[0.002225199,0.0008188433,0.001973276,0.0008244314,0.001109588,0.003993443,0.003494972,0.002028212,0.02573233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001586781,"about_ca_system_score_gemma":0.001819408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005912184,"about_ca_topic_score_gemma":0.01214227,"domain_scores_codex":[0.9991925,0.0001374772,0.00004709805,0.000236694,0.0002819533,0.0001043255],"domain_scores_gemma":[0.9995198,0.0001119375,0.00003348751,0.0001894421,0.0001025777,0.0000426948],"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":[0.0002513933,0.0001170948,0.0007373788,0.0006535036,0.00007042472,0.000341397,0.000298772,0.04415829,0.00362993,0.4641005,0.1304894,0.3551519],"study_design_scores_gemma":[0.00007125749,0.00008179215,0.0002567315,0.0001446001,0.00004117466,0.0003632831,0.00008530528,0.2670994,0.007330085,0.227057,0.4974196,0.00004970686],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001587367,0.0003765012,0.9102837,0.000688844,0.0002828269,0.0002418904,0.003124317,0.03296761,0.05044693],"genre_scores_gemma":[0.06825519,0.0007673282,0.8454546,0.0009434745,0.0001635342,0.0007424827,0.01314411,0.009237201,0.06129213],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07979538,"threshold_uncertainty_score":0,"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."}}