{"id":"W2799002257","doi":"10.1109/cvpr.2018.00886","title":"VirtualHome: Simulating Household Activities Via Programs","year":2018,"lang":"en","type":"article","venue":"","topic":"Multimodal Machine Learning Applications","field":"Computer Science","cited_by":350,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Defense Advanced Research Projects Agency; Intelligence Advanced Research Projects Activity; Samsung; Nvidia","keywords":"Computer science; Task (project management); Representation (politics); Variety (cybernetics); Human–computer interaction; Interface (matter); Code (set theory); Game engine; Natural language; Artificial intelligence; Programming language","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001318937,0.0001128393,0.00009819648,0.00006702275,0.0002512418,0.0002036792,0.0006556194,0.00004318705,0.00003243295],"category_scores_gemma":[0.00002954538,0.00009913033,0.00003810195,0.0003737005,0.00009232351,0.0003804652,0.0002759082,0.0001361975,0.0001912764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002434834,"about_ca_system_score_gemma":0.00002165499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003555948,"about_ca_topic_score_gemma":0.00002476698,"domain_scores_codex":[0.9990237,0.00004010686,0.0001448019,0.0003360452,0.000199878,0.0002554109],"domain_scores_gemma":[0.9990783,0.0001118277,0.00006653936,0.0006240971,0.00004234955,0.00007689294],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003679318,0.0002105795,0.02341356,0.00001066179,0.00002290794,0.000002633155,0.001825455,0.001126631,0.008126544,0.08564276,0.0002277945,0.8793868],"study_design_scores_gemma":[0.0001945597,0.0001821619,0.01684016,0.000009617223,0.000003064101,0.0000118534,0.00003634639,0.9718024,0.003568216,0.002802652,0.004293582,0.0002554047],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.255824,0.000003490022,0.7325773,0.0005699139,0.00008702365,0.0001516774,2.787678e-7,0.001000911,0.009785373],"genre_scores_gemma":[0.858601,2.225498e-7,0.1405256,0.0002119339,0.0001435313,0.00003249056,0.000001226413,0.00001212847,0.0004717753],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9706758,"threshold_uncertainty_score":0.4042418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02535626076205967,"score_gpt":0.2773558627617337,"score_spread":0.251999601999674,"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."}}