{"id":"W2991037217","doi":"10.1017/cbo9780511526251.004","title":"Basic hypergeometric series","year":2004,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"3D Modeling in Geospatial Applications","field":"Engineering","cited_by":328,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Series (stratigraphy); Lauricella hypergeometric series; Bilateral hypergeometric series; Basic hypergeometric series; Mathematics; Confluent hypergeometric function; Hypergeometric function of a matrix argument; Pure mathematics; Hypergeometric function; Geology","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":[0.00003559627,0.0003730593,0.0003340798,0.0003601199,0.0001288709,0.00003095638,0.0004457872,0.0003700161,0.0000139444],"category_scores_gemma":[0.000004615884,0.0005013523,0.0001643874,0.00002542838,0.0001194619,0.00008860374,0.0001564873,0.0004560772,0.00008723603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004124185,"about_ca_system_score_gemma":0.00007278341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008501947,"about_ca_topic_score_gemma":0.000003190386,"domain_scores_codex":[0.9989909,0.000005005014,0.0001786072,0.0003472765,0.0002099355,0.0002682797],"domain_scores_gemma":[0.9990446,0.0000278463,0.00006424442,0.0006049809,0.0001113975,0.0001469171],"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":[0.000008313369,0.000004474362,5.02471e-7,0.0001358935,0.0001279938,0.00005654398,0.00002036672,0.007672648,0.0000615399,0.9799379,0.01063575,0.001338122],"study_design_scores_gemma":[0.0002882226,0.00002384694,0.000008125366,0.0001122388,0.0001779595,0.00001449634,0.000006139908,0.0009031272,0.0004788848,0.0001046389,0.997288,0.0005943581],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001342944,0.0002717373,0.008762101,0.000008865458,0.000295565,0.0003395577,0.0003262379,0.0008378903,0.9890237],"genre_scores_gemma":[0.005174878,0.0003445312,0.001018175,0.00001515655,0.0001507495,0.000002657843,0.00009424047,0.0001173173,0.9930823],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9866522,"threshold_uncertainty_score":0.9997438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01569393151957727,"score_gpt":0.1696977866293411,"score_spread":0.1540038551097638,"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."}}