{"id":"W4318977940","doi":"10.1007/978-3-031-10602-6_13","title":"Probabilistic Metric Learning","year":2023,"lang":"en","type":"book-chapter","venue":"","topic":"Face and Expression Recognition","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Metric (unit); Probabilistic logic; Artificial intelligence; Computer science; Machine learning; Engineering","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001473424,0.000159851,0.0001718974,0.0003398377,0.00008104229,0.0001121313,0.0004189264,0.0001744846,0.0004350379],"category_scores_gemma":[0.0000842915,0.0001328334,0.0000923887,0.0001201122,0.00001707174,0.0001299748,0.0002893181,0.0003218833,0.009300786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002474919,"about_ca_system_score_gemma":0.00004233759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000611732,"about_ca_topic_score_gemma":0.000003322455,"domain_scores_codex":[0.9989783,0.00001167913,0.0001741402,0.0003879326,0.0002908866,0.0001571173],"domain_scores_gemma":[0.9993168,0.0001574843,0.00008731576,0.0002961674,0.00007732942,0.00006490436],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001112381,0.000006283219,0.00000128057,0.00005281323,0.00002345292,0.0000393189,0.00004905615,0.0001598152,0.00001217506,0.8350447,0.03025151,0.1343584],"study_design_scores_gemma":[0.0001655663,0.0001246284,0.00001574277,0.0003191306,0.00002442704,0.00001233453,0.000006719711,0.01792808,0.00008086041,0.3873664,0.5933326,0.0006234385],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000001808037,0.00006099543,0.03973721,0.000221688,0.0004443583,0.000137526,0.000001161033,0.0008321045,0.9585631],"genre_scores_gemma":[0.0002347766,0.00009932699,0.003289201,0.0001281766,0.00006894816,0.000009979051,0.00001667264,0.0000248582,0.9961281],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5630811,"threshold_uncertainty_score":0.9914706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03709726476585862,"score_gpt":0.2394202383493983,"score_spread":0.2023229735835397,"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."}}