{"id":"W3020829986","doi":"","title":"Reconstructing a Polyhedron between Polygons in Parallel Slices.","year":2019,"lang":"en","type":"article","venue":"Canadian Conference on Computational Geometry","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Combinatorics; Vertex (graph theory); Mathematics; Polyhedron; Regular polygon; Surface (topology); Disjoint sets; Planar; Triangulation; Time complexity; Geometry; Computer science; Graph","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":[0.0003824071,0.0002359284,0.0002842906,0.001671348,0.0001583404,0.0002805601,0.0006997819,0.0001342402,0.0003659937],"category_scores_gemma":[0.00007684124,0.0002739756,0.00007465295,0.001721783,0.00004036592,0.0005224177,0.00007470865,0.0003428168,0.0007124504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003319149,"about_ca_system_score_gemma":0.001597048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004398192,"about_ca_topic_score_gemma":0.003661444,"domain_scores_codex":[0.9978192,0.0001014215,0.0004330127,0.0006618591,0.0004406889,0.000543827],"domain_scores_gemma":[0.9984927,0.0003971474,0.0001381843,0.0003442342,0.0001969327,0.0004308352],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001052643,0.0000477636,0.1328417,0.00002792409,0.00004449357,0.00003482319,0.0003644078,0.1698515,0.00005273057,0.6055724,0.0005867878,0.09056489],"study_design_scores_gemma":[0.001308628,0.0002094811,0.3079143,0.0001376873,0.000006517122,0.00005067533,0.0001710258,0.6254803,0.00006434845,0.06080674,0.003030139,0.0008202129],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8117395,0.00009799661,0.1598696,0.004945602,0.000952613,0.0005224417,0.0000585666,0.0001244791,0.02168919],"genre_scores_gemma":[0.9663072,0.00000340809,0.03193593,0.001092152,0.0001226756,0.00001426227,0.0001194423,0.00001261438,0.0003923696],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5447657,"threshold_uncertainty_score":0.9999713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02785129121802383,"score_gpt":0.2508997063316967,"score_spread":0.2230484151136729,"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."}}