{"id":"W3117272073","doi":"10.1007/978-3-030-67080-1_9","title":"Multiple Points and Beyond","year":2020,"lang":"en","type":"book-chapter","venue":"Texts & monographs in symbolic computation/Texts and monographs in symbolic computation","topic":"Polynomial and algebraic computation","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Hyperplane; Mathematics; Polynomial; Set (abstract data type); Connection (principal bundle); Topology (electrical circuits); Multivariate statistics; Pure mathematics; Discrete mathematics; Combinatorics; Computer science; Mathematical analysis; Geometry","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":["metaepi_narrow"],"category_scores_codex":[0.0008245904,0.001502469,0.001857022,0.0036171,0.0004406967,0.0007941748,0.000999879,0.0007595814,0.00001764197],"category_scores_gemma":[0.00007756472,0.001694441,0.0004309765,0.0016122,0.0005764224,0.001090473,0.001049233,0.00134034,0.00004034757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001635355,"about_ca_system_score_gemma":0.0002542579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001630137,"about_ca_topic_score_gemma":0.0002811654,"domain_scores_codex":[0.9927649,0.0002932873,0.0023083,0.002592308,0.0009733246,0.001067867],"domain_scores_gemma":[0.9963448,0.0009952137,0.001033676,0.0006819277,0.0002789701,0.0006654027],"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":[0.0001137735,0.0002818395,0.004358338,0.0003131213,0.0002297482,0.0001701317,0.009572077,0.003380168,0.0000261548,0.1434442,0.00136812,0.8367423],"study_design_scores_gemma":[0.004332235,0.0004476969,0.04882071,0.0007407331,0.0001057003,0.0001429468,0.0001897931,0.3099319,0.0000156868,0.6274453,0.005523375,0.002303893],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3780407,0.03998345,0.4577352,0.009923949,0.006047339,0.01296814,0.0006237063,0.00384605,0.09083154],"genre_scores_gemma":[0.9713381,0.002035944,0.02347697,0.001330719,0.0003213044,0.0001493892,0.0004949154,0.0001925832,0.0006600612],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8344384,"threshold_uncertainty_score":0.9997724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01458478999327997,"score_gpt":0.2402834064338251,"score_spread":0.2256986164405452,"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."}}