{"id":"W2540377333","doi":"10.1007/s00208-019-01865-w","title":"Triple product p-adic L-functions for balanced weights","year":2019,"lang":"en","type":"preprint","venue":"Mathematische Annalen","topic":"Advanced Algebra and Geometry","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Interpolation (computer graphics); Mathematics; Triple product; Birkhoff interpolation; Product (mathematics); Sign (mathematics); Branching (polymer chemistry); Pure mathematics; Linear interpolation; Polynomial interpolation; Mathematical analysis; Polynomial; Geometry; Motion (physics); Computer science","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"],"consensus_categories":[],"category_scores_codex":[0.0006903868,0.0006769703,0.001219481,0.00033297,0.000214043,0.0001094094,0.0007222153,0.0004192699,0.0004498172],"category_scores_gemma":[0.001169273,0.0005816341,0.000626593,0.0002786269,0.00007534866,0.0001896796,0.0005267194,0.0008075203,0.0006747005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008145735,"about_ca_system_score_gemma":0.0001998315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002277605,"about_ca_topic_score_gemma":0.000006223596,"domain_scores_codex":[0.9968293,0.0000766688,0.0008666437,0.001078041,0.0004735055,0.0006758005],"domain_scores_gemma":[0.9961506,0.0006907195,0.0007516184,0.001923837,0.0003322276,0.0001509559],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002633342,0.001538991,0.0005257351,0.02120821,0.001747027,0.00001685285,0.002588256,0.0002720258,0.0008474246,0.3054784,0.6528738,0.01263995],"study_design_scores_gemma":[0.000933349,0.00009734104,0.0001262946,0.0007979015,0.0003271172,0.00002246671,0.0001076603,0.00101515,0.002180576,0.944277,0.04926663,0.0008484945],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2097014,0.005171295,0.7255818,0.002936622,0.006256123,0.01292719,0.001992557,0.001613585,0.03381944],"genre_scores_gemma":[0.27699,0.0004268735,0.3764758,0.0005767258,0.004513831,0.005372315,0.001460646,0.0008708863,0.333313],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6387986,"threshold_uncertainty_score":0.9996635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06208678860604249,"score_gpt":0.3342535776705333,"score_spread":0.2721667890644908,"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."}}