{"id":"W4300221964","doi":"10.1007/978-3-031-14788-3_11","title":"An Interpolation Algorithm for Computing Dixon Resultants","year":2022,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Polynomial and algebraic computation","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Monic polynomial; Subroutine; Maple; Algorithm; Interpolation (computer graphics); Polynomial interpolation; Mathematics; Univariate; Polynomial; Computer science; Algebra over a field; Multivariate statistics; Linear interpolation; Pure mathematics; Computer graphics (images)","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":[0.001079367,0.001174555,0.001053152,0.002764442,0.001439404,0.002102371,0.001850104,0.0006705508,0.02055301],"category_scores_gemma":[0.00400856,0.0005546681,0.001045023,0.003172476,0.0009715196,0.003337757,0.002542126,0.001796129,0.005003507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001202712,"about_ca_system_score_gemma":0.00108348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001457259,"about_ca_topic_score_gemma":0.003449782,"domain_scores_codex":[0.9990447,0.0001438462,0.00006759886,0.0001892616,0.0004099963,0.0001444701],"domain_scores_gemma":[0.9985504,0.0005615726,0.00007533377,0.0003322535,0.0003906903,0.00008975769],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0006259357,0.00018883,0.001246263,0.0002742709,0.00004845747,0.0001222986,0.0002777542,0.01432389,0.01191969,0.2302184,0.01315767,0.7275966],"study_design_scores_gemma":[0.0002586609,0.0005052724,0.001822465,0.0001643561,0.0001461637,0.0005006167,0.0004033195,0.3636021,0.05414367,0.4903547,0.08794621,0.0001524178],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03374876,0.0004203553,0.9295522,0.0002181567,0.0003107189,0.0001637197,0.0004158108,0.003422367,0.03174805],"genre_scores_gemma":[0.1946268,0.000329649,0.7771196,0.0001209762,0.0001573722,0.0001623383,0.001350532,0.0007768145,0.02535592],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02055301,"threshold_uncertainty_score":0.0687567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01695797807085452,"score_gpt":0.2659098690330344,"score_spread":0.2489518909621798,"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."}}