{"id":"W2480359983","doi":"10.1093/imanum/drw033","title":"Collocation methods for third-kind VIEs","year":2016,"lang":"en","type":"article","venue":"IMA Journal of Numerical Analysis","topic":"Web Applications and Data Management","field":"Computer Science","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Mathematics; Collocation (remote sensing); Applied mathematics; Calculus (dental); Medicine; Computer science; Orthodontics; Machine learning","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":[],"consensus_categories":[],"category_scores_codex":[0.0009034857,0.00007248687,0.0002603487,0.0003042279,0.00007629883,0.0001045008,0.0007108669,0.00002178645,0.00002437155],"category_scores_gemma":[0.0001490766,0.00004158345,0.0002877139,0.0012704,0.00002666042,0.0004893382,0.000103336,0.00003561617,0.00001261302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004824795,"about_ca_system_score_gemma":0.00003245508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009668604,"about_ca_topic_score_gemma":9.705365e-7,"domain_scores_codex":[0.9990357,0.00008696041,0.0004011301,0.0001650065,0.000184041,0.0001272094],"domain_scores_gemma":[0.998542,0.0003408189,0.0003667311,0.0003748644,0.0002917813,0.00008383587],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001568267,0.0001467937,0.0008251962,0.000006140373,0.001122763,0.000001544291,0.0000761413,0.0002621846,0.002508399,0.03903428,0.007579734,0.9484211],"study_design_scores_gemma":[0.001260751,0.0004307231,0.01750486,0.00002876094,0.002186938,0.00002642089,0.0001116755,0.1717643,0.005468046,0.04802863,0.7527578,0.0004310563],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0003143525,0.0001433863,0.9891927,0.01002135,0.00005845947,0.00006170825,0.000003339598,0.00001144594,0.0001932154],"genre_scores_gemma":[0.1461312,0.00006341776,0.8532184,0.0002890476,0.0000634816,0.00001302369,0.000001069058,0.00000306328,0.0002172598],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9479901,"threshold_uncertainty_score":0.1695724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02335815520021128,"score_gpt":0.3587689977324925,"score_spread":0.3354108425322813,"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."}}