{"id":"W2554954837","doi":"","title":"Fast and Flexible Monotonic Functions with Ensembles of Lattices","year":2016,"lang":"en","type":"article","venue":"Neural Information Processing Systems","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Monotonic function; Regularization (linguistics); Computer science; Feature (linguistics); Random forest; Artificial intelligence; Base (topology); Key (lock); Algorithm; Machine learning; Mathematical optimization; Mathematics","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":[0.003966081,0.0009775539,0.001632908,0.001270972,0.0006410005,0.001808126,0.002340745,0.00147398,0.002475785],"category_scores_gemma":[0.01640359,0.001052811,0.001319769,0.001010233,0.001156766,0.004316409,0.002646634,0.003000081,0.0009543779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001031832,"about_ca_system_score_gemma":0.001211373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002795301,"about_ca_topic_score_gemma":0.003630375,"domain_scores_codex":[0.9980508,0.0009051067,0.0001139129,0.000329175,0.0004612058,0.0001399217],"domain_scores_gemma":[0.9925978,0.004871279,0.0004591345,0.001190895,0.000606967,0.0002738186],"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":[0.000296848,0.0001212,0.00375322,0.0001149009,0.0001091675,0.0001476237,0.0002226873,0.7521582,0.003207774,0.05086251,0.00363499,0.1853708],"study_design_scores_gemma":[0.000009481641,0.00002131779,0.00008500393,0.000009178027,0.000004629257,0.00001946904,0.00001142081,0.9760978,0.000513524,0.02295422,0.0002665533,0.000007342421],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03446903,0.0003710468,0.9625366,0.0002178937,0.00003336238,0.00003790066,0.0001594847,0.001268279,0.0009063553],"genre_scores_gemma":[0.5054458,0.0002905811,0.4914674,0.000230329,0.00007450375,0.0001941459,0.000750451,0.0002974647,0.001249267],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003966081,"threshold_uncertainty_score":0.02097487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0177979369090654,"score_gpt":0.2283673053453767,"score_spread":0.2105693684363113,"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."}}