{"id":"W4315815891","doi":"10.1109/icicml57342.2022.10009760","title":"Estimator performance for shallow and deep models","year":2022,"lang":"en","type":"article","venue":"2022 International Conference on Image Processing, Computer Vision and Machine Learning (ICICML)","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Estimator; Computer science; Recommender system; Propensity score matching; Ranking (information retrieval); Artificial intelligence; Machine learning; Statistics; 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":[0.006036216,0.0009686383,0.001473882,0.0007780623,0.000541384,0.001436231,0.001598784,0.001911175,0.003195902],"category_scores_gemma":[0.03190562,0.0005286504,0.001207404,0.0005256873,0.0007149104,0.003458646,0.001663066,0.002463619,0.001192407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000966229,"about_ca_system_score_gemma":0.002133427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01388255,"about_ca_topic_score_gemma":0.01302205,"domain_scores_codex":[0.9975254,0.001043684,0.0001701659,0.0005525663,0.000442762,0.0002654558],"domain_scores_gemma":[0.986985,0.008556456,0.0005942394,0.001740529,0.001749733,0.0003739968],"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":[0.001138999,0.0003560837,0.03476055,0.0005578914,0.000778342,0.000221653,0.0002829325,0.6640187,0.005748762,0.03249381,0.007973161,0.251669],"study_design_scores_gemma":[0.00003893772,0.0001608849,0.001984915,0.00003174906,0.00007222051,0.00007316367,0.00004811502,0.986255,0.001457334,0.00904095,0.0007971477,0.00003952319],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1545316,0.004993387,0.8324659,0.001431024,0.0002229686,0.0001057919,0.0008270405,0.002376181,0.003046025],"genre_scores_gemma":[0.8454839,0.001561932,0.1449532,0.0006637629,0.0001376092,0.0001267997,0.001858248,0.0001900842,0.005024437],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01388255,"threshold_uncertainty_score":0.031923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03202464806830251,"score_gpt":0.2968203899372381,"score_spread":0.2647957418689356,"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."}}