{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001726813,0.00008069579,0.0001235817,0.00005621005,0.0001295,0.0001224373,0.00006337769,0.00003281922,0.00001265948],"category_scores_gemma":[0.00004745211,0.00006982868,0.00001947553,0.0001308945,0.00002612957,0.0001491913,0.0000384929,0.0000581967,0.000001194688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003803416,"about_ca_system_score_gemma":0.00001633137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005213245,"about_ca_topic_score_gemma":0.000001514239,"domain_scores_codex":[0.9993814,0.00004983738,0.0001122214,0.0002190505,0.0001254172,0.0001121281],"domain_scores_gemma":[0.9996716,0.00008194869,0.0000332859,0.0001025663,0.0000358266,0.00007472887],"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":[0.00002708733,0.00002566873,0.00008732203,0.0000216829,0.00003799608,0.000006283346,0.0003359102,0.0005276526,0.0008406722,0.3583821,0.0001582502,0.6395494],"study_design_scores_gemma":[0.01143261,0.0002584946,0.020364,0.00002429941,0.00003060946,0.0002878335,0.00003252998,0.1513494,0.01543174,0.7830842,0.0171356,0.0005686651],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07673593,0.002064463,0.9194102,0.0007838912,0.0003251284,0.0001437228,0.000003253242,0.00004697844,0.0004863779],"genre_scores_gemma":[0.8437169,0.000183704,0.1555192,0.0003248173,0.00011337,0.000003566652,0.00000419937,0.000003882105,0.0001303284],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.766981,"threshold_uncertainty_score":0.2847531,"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."}}