{"id":"W2774661387","doi":"10.48550/arxiv.1711.11017","title":"HoME: a Household Multimodal Environment","year":2017,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Speech and dialogue systems","field":"Computer Science","cited_by":80,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Université de Sherbrooke","funders":"","keywords":"Business; Environmental planning; Natural resource economics; Geography; Economics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002445228,0.0003568396,0.0003922228,0.0001977178,0.0002705755,0.0002911889,0.003472296,0.0003674603,0.00001973758],"category_scores_gemma":[0.00002125188,0.0004032674,0.000276736,0.0000936894,0.0001403413,0.0003786097,0.003309541,0.0004923659,0.0004641877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002534785,"about_ca_system_score_gemma":0.0001732749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005401525,"about_ca_topic_score_gemma":0.00002474886,"domain_scores_codex":[0.9978123,0.000107554,0.0001843655,0.001302994,0.0001419339,0.0004509095],"domain_scores_gemma":[0.9962646,0.00005090103,0.0003547581,0.003018478,0.00003292757,0.0002783801],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002417781,0.001200434,0.04818854,0.0005604132,0.0008827952,0.008946763,0.001840667,0.6209327,0.0005450818,0.2955836,0.01014677,0.01093047],"study_design_scores_gemma":[0.00473992,0.0003059903,0.04266912,0.0004467268,0.0002303509,0.00005781956,0.000111654,0.7883576,0.0009562952,0.1372829,0.02096115,0.003880393],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3467493,0.0001922395,0.6417179,0.0001376041,0.002528218,0.000585477,0.00007503701,0.0005194931,0.007494747],"genre_scores_gemma":[0.9950213,0.0001633386,0.001864038,0.00004655803,0.0001893036,0.000001895371,0.00001633874,0.00002128032,0.00267588],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.648272,"threshold_uncertainty_score":0.9998419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08439246256064796,"score_gpt":0.174981290823229,"score_spread":0.09058882826258106,"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."}}