{"id":"W2202703817","doi":"10.1109/iccv.2015.462","title":"Learning Ensembles of Potential Functions for Structured Prediction with Latent Variables","year":2015,"lang":"en","type":"article","venue":"","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Latent variable; Computer science; Artificial intelligence; Machine learning","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":[],"consensus_categories":[],"category_scores_codex":[0.0001047131,0.00005779061,0.00007195465,0.00005749639,0.000105861,0.00003693242,0.0001329248,0.00003891313,0.000007388806],"category_scores_gemma":[0.000009382884,0.00004395552,0.00002980021,0.0001886854,0.00002071539,0.0001805127,0.00003566864,0.00004801267,0.000001544292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001704794,"about_ca_system_score_gemma":0.00004901499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004113181,"about_ca_topic_score_gemma":0.000006339432,"domain_scores_codex":[0.9995012,0.0000128772,0.0001253499,0.0001609103,0.0001107742,0.00008891732],"domain_scores_gemma":[0.9994871,0.00001474646,0.00007421712,0.0001683571,0.000205438,0.00005016431],"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":[0.0002767024,0.0004013623,0.007430023,0.00008629567,0.0002648321,0.000001979092,0.00134081,0.1685206,0.08329623,0.5791838,0.0240481,0.1351493],"study_design_scores_gemma":[0.001741745,0.003108399,0.005652815,0.00002818689,0.00008703517,0.00009857482,0.0005976478,0.8218533,0.09785,0.0291454,0.03943604,0.000400801],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01184865,0.000007517698,0.986448,0.0001725989,0.00007034501,0.0002054833,0.0000052195,0.0003053765,0.0009367641],"genre_scores_gemma":[0.8253153,0.000001900395,0.1733683,0.00001325585,0.00003408971,0.00006444099,0.000007217371,0.000004404548,0.00119113],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8134666,"threshold_uncertainty_score":0.1792454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01459088028849443,"score_gpt":0.219399274341772,"score_spread":0.2048083940532776,"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."}}