{"id":"W2149364930","doi":"10.1007/978-3-319-02297-0_3","title":"Computing the Limit Points of the Quasi-component of a Regular Chain in Dimension One","year":2013,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Polynomial and algebraic computation","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Dimension (graph theory); Component (thermodynamics); Chain (unit); Limit (mathematics); Ideal (ethics); Computer science; Set (abstract data type); Series (stratigraphy); Mathematics; Algorithm; Discrete mathematics; Combinatorics; Mathematical analysis; Physics","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":[0.00143762,0.0003752806,0.000608526,0.0004645653,0.0001786266,0.0001191669,0.003618497,0.0001863222,0.000006688691],"category_scores_gemma":[0.0001107169,0.0002405561,0.0001851971,0.0008587267,0.00084508,0.0002522984,0.002396972,0.0006638179,0.000008788566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000175229,"about_ca_system_score_gemma":0.0002949199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000204667,"about_ca_topic_score_gemma":0.00009565534,"domain_scores_codex":[0.9965439,0.0001453708,0.0008839168,0.0008731373,0.001083164,0.0004704701],"domain_scores_gemma":[0.9967253,0.0008416931,0.0007445943,0.001406003,0.0002101095,0.00007230563],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001155433,0.0001724044,0.0001513273,0.0001041687,0.00002123271,0.000008875743,0.00405407,0.06110185,0.003041641,0.06609508,0.0000230708,0.8652147],"study_design_scores_gemma":[0.0003703056,0.000166456,0.006014496,0.001422217,0.000008214189,0.00002167913,8.133541e-7,0.8464605,0.008109863,0.1369633,0.0001117142,0.0003504163],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02235199,0.0003244303,0.972023,0.00310676,0.001133288,0.0006768075,0.000002139313,0.00003641903,0.0003451636],"genre_scores_gemma":[0.9350934,0.00001635269,0.06406018,0.0006086668,0.0001446579,0.000003624088,0.000001337303,0.00001719077,0.00005460486],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9127414,"threshold_uncertainty_score":0.9809594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01475681760201,"score_gpt":0.2147313181929514,"score_spread":0.1999745005909414,"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."}}