{"id":"W4409187835","doi":"10.1002/9781394294404.ch7","title":"Quantile Regression Using Log‐Cosh","year":2025,"lang":"en","type":"other","venue":"","topic":"Face and Expression Recognition","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; University of British Columbia","funders":"","keywords":"Quantile regression; Statistics; Quantile; Regression; Computer science; Regression analysis; Econometrics; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00005520604,0.0001577415,0.0001770685,0.0002582928,0.00004900874,0.00008220319,0.000479077,0.0002380965,0.002555105],"category_scores_gemma":[0.00001286733,0.0001146164,0.00006315315,0.0001902728,0.00001427839,0.00009472686,0.0002719308,0.0001163442,0.0005063794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001425534,"about_ca_system_score_gemma":0.00008878549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002824269,"about_ca_topic_score_gemma":0.00002192883,"domain_scores_codex":[0.9991506,0.00003702018,0.0001191576,0.0003588581,0.0001724147,0.000161894],"domain_scores_gemma":[0.9993381,0.00002127333,0.00009665301,0.0004741421,0.00002600403,0.00004382497],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[7.052551e-7,0.00001598619,0.0000054975,0.00002968028,0.000007217239,0.000006417788,0.000007696748,0.000001492075,0.000270872,0.003319931,0.9763708,0.01996374],"study_design_scores_gemma":[0.0001594725,0.00001190159,0.000004243751,0.001545448,0.000009185334,0.00000339576,0.00001088959,0.01385069,0.002420297,0.00135477,0.9803614,0.0002682887],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000003119319,0.0002606377,0.3569559,0.0001108075,0.0007378372,0.00008317881,0.000004101913,0.000353704,0.6414908],"genre_scores_gemma":[0.00007107914,0.0001050103,0.08426982,0.0004162077,0.00009785577,0.000003925016,0.00001032839,0.00004894814,0.9149768],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2734861,"threshold_uncertainty_score":0.9983567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03042386681035611,"score_gpt":0.2989804021778419,"score_spread":0.2685565353674859,"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."}}