{"id":"W7132974855","doi":"","title":"Machine Learning Perspectives in Compression, Distributed Computing, and Brain Imaging","year":2024,"lang":"","type":"dissertation","venue":"TSpace","topic":"Gaussian Processes and Bayesian Inference","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Leverage (statistics); Exploit; Coding (social sciences); Gaussian process; Probabilistic logic; Inference; Process (computing); Subnetwork; Neuroimaging","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","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0005815282,0.000776222,0.0007661503,0.000557987,0.0005172554,0.001590053,0.0009070627,0.0002543941,0.0001302345],"category_scores_gemma":[0.0003297834,0.0007612538,0.0001302655,0.00146273,0.0001955419,0.0004625804,0.0006618281,0.002032739,0.00005928461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001659456,"about_ca_system_score_gemma":0.0003385015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001046112,"about_ca_topic_score_gemma":0.0002185607,"domain_scores_codex":[0.995873,0.0002932762,0.0006844975,0.001801803,0.0005255932,0.0008217822],"domain_scores_gemma":[0.9981959,0.0003555749,0.0004709414,0.0004629505,0.0002550494,0.0002596045],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001946573,0.0005505774,0.03190845,0.005084414,0.0001973381,0.001218695,0.7206066,0.002405762,0.002404032,0.08694698,0.002419257,0.1460632],"study_design_scores_gemma":[0.0007211948,0.000122361,0.02209199,0.00431449,0.0000515881,0.0001059408,0.0448911,0.9189361,0.0001963722,0.004051876,0.003429158,0.001087799],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2120133,0.1264939,0.6234042,0.0234603,0.002440532,0.001398589,0.00005523843,0.0009620872,0.009771822],"genre_scores_gemma":[0.9918431,0.0008544408,0.002607254,0.00009509685,0.0001244462,0.00001118371,0.0002292834,0.00006412286,0.004171087],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9165304,"threshold_uncertainty_score":0.9994838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01126774290228543,"score_gpt":0.3202973159932543,"score_spread":0.3090295730909688,"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."}}