{"id":"W4403605665","doi":"10.1088/1742-5468/ad642a","title":"Learning curves for deep structured Gaussian feature models*","year":2024,"lang":"en","type":"article","venue":"Journal of Statistical Mechanics Theory and Experiment","topic":"Gaussian Processes and Bayesian Inference","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Feature (linguistics); Gaussian; Statistical physics; Artificial intelligence; Mathematics; Gaussian process; Computer science; Physics; Quantum mechanics","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":[0.004870227,0.0006796307,0.0009485517,0.001439588,0.0007516551,0.001044651,0.001898575,0.001972063,0.003933196],"category_scores_gemma":[0.02707523,0.000513439,0.00110154,0.0006555729,0.002170626,0.003647132,0.00194723,0.002753738,0.000531945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002300804,"about_ca_system_score_gemma":0.001013646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003951892,"about_ca_topic_score_gemma":0.002283823,"domain_scores_codex":[0.9991922,0.0003921583,0.00003332688,0.0001326661,0.0001600964,0.00008961586],"domain_scores_gemma":[0.9881698,0.008061445,0.001016797,0.001251752,0.0008935976,0.0006065607],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001214771,0.00007751353,0.002166618,0.0001663641,0.00004701321,0.0001346175,0.0003334137,0.4408067,0.0029043,0.5241379,0.004215315,0.02488882],"study_design_scores_gemma":[0.000006237561,0.00001816843,0.0002551063,0.00002496881,0.000002837755,0.00002669222,0.00001633692,0.7953407,0.0003548756,0.2034677,0.0004756757,0.00001063841],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2003426,0.001323069,0.7820962,0.003266793,0.00009212022,0.00009878167,0.0004188325,0.001090825,0.01127081],"genre_scores_gemma":[0.9278595,0.0006364729,0.06552185,0.0004258833,0.0000559801,0.0001670413,0.0004554524,0.0003569486,0.004520854],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004870227,"threshold_uncertainty_score":0.02575648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01093888803804894,"score_gpt":0.2767262604447029,"score_spread":0.265787372406654,"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."}}