{"id":"W1562525740","doi":"10.1002/rsa.10099","title":"One line and n points","year":2003,"lang":"en","type":"article","venue":"Random Structures and Algorithms","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Line (geometry); Mathematics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001200307,0.0004405263,0.0008319169,0.0006308571,0.001105948,0.001253389,0.001288588,0.00118808,0.01015395],"category_scores_gemma":[0.005927761,0.0004763799,0.0009694337,0.0008948449,0.001920982,0.001817259,0.001710324,0.001231491,0.001218551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001042897,"about_ca_system_score_gemma":0.0007740957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004499533,"about_ca_topic_score_gemma":0.003372647,"domain_scores_codex":[0.9982804,0.0004377537,0.00007387453,0.0003444687,0.0005128021,0.0003506672],"domain_scores_gemma":[0.9966677,0.001569535,0.0005439563,0.0006790556,0.0002843311,0.0002555316],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001807484,0.0003676248,0.006667229,0.0002257944,0.0001520338,0.0009584644,0.0002992737,0.7559163,0.01669299,0.1439104,0.003442296,0.06956006],"study_design_scores_gemma":[0.0002142966,0.0002595594,0.001162414,0.00003200419,0.00003469079,0.0001678223,0.0001499947,0.9339766,0.01275181,0.04730235,0.003904855,0.0000436348],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4257527,0.0002709663,0.5620812,0.0005933576,0.0001250549,0.0003428122,0.0002833984,0.0005892927,0.009961278],"genre_scores_gemma":[0.8746708,0.0001316492,0.1171968,0.0001191404,0.00003002099,0.0001406424,0.0003582569,0.0000979921,0.007254678],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01015395,"threshold_uncertainty_score":0.03396833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01310099690627803,"score_gpt":0.2389185159777146,"score_spread":0.2258175190714365,"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."}}