{"id":"W2607936177","doi":"10.1090/crmp/036/03","title":"Dirichlet series for squares of sums of squares: A summary","year":2004,"lang":"en","type":"book-chapter","venue":"CRM proceedings & lecture notes","topic":"Analytic Number Theory Research","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Concordia University","funders":"","keywords":"Least-squares function approximation; Series (stratigraphy); Mathematics; Non-linear least squares; Total least squares; Explained sum of squares; Residual sum of squares; Applied mathematics; Statistics; Geology; Regression","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":[0.003929931,0.001787873,0.002063836,0.003729567,0.001397301,0.0058942,0.002244122,0.002266652,0.009401463],"category_scores_gemma":[0.00737276,0.001479657,0.001821445,0.005978839,0.003594509,0.009101446,0.002438038,0.004581199,0.004907806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002775377,"about_ca_system_score_gemma":0.001154888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001192348,"about_ca_topic_score_gemma":0.001259963,"domain_scores_codex":[0.9975901,0.0006618928,0.0003024421,0.0004994789,0.000828429,0.0001177513],"domain_scores_gemma":[0.9973595,0.001586659,0.0001000009,0.000287235,0.0005523351,0.0001142508],"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":[0.00001918956,0.00004774748,0.0001424998,0.0005477294,0.00001767531,0.00006634519,0.000206932,0.001275786,0.0005394246,0.9281434,0.01790883,0.05108428],"study_design_scores_gemma":[0.000007229474,0.00001993288,0.0002761728,0.0001356509,0.00001487467,0.0002284358,0.00004455796,0.004120071,0.000364071,0.9240862,0.07066784,0.00003492135],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.008359103,0.2701289,0.3099657,0.007042304,0.008730328,0.00009610374,0.0005583542,0.0005439307,0.3945753],"genre_scores_gemma":[0.2253471,0.2694302,0.219275,0.00661758,0.04605622,0.0005392399,0.001766788,0.001794084,0.2291738],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.009401463,"threshold_uncertainty_score":0.03145105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04691510969299786,"score_gpt":0.3160722048065177,"score_spread":0.2691570951135198,"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."}}