{"id":"W149959876","doi":"10.1016/j.cag.2013.05.016","title":"Minimizing edge length to connect sparsely sampled unstructured point sets","year":2013,"lang":"en","type":"article","venue":"Computers & Graphics","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Enhanced Data Rates for GSM Evolution; Computer science; Point (geometry); Algorithm; Mathematics; Artificial intelligence; 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":[0.0009230852,0.00075423,0.000916753,0.001362649,0.0006106042,0.0009403304,0.001618336,0.001642382,0.00415322],"category_scores_gemma":[0.00678763,0.0007784253,0.0006020089,0.001018256,0.0008045959,0.00123933,0.002352372,0.001928116,0.0008665023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007222958,"about_ca_system_score_gemma":0.0008437692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001824183,"about_ca_topic_score_gemma":0.004795759,"domain_scores_codex":[0.9993042,0.0001862267,0.00003705731,0.0001083469,0.0003114202,0.00005278552],"domain_scores_gemma":[0.9978679,0.001140573,0.0001750317,0.0002556481,0.0004290661,0.000131763],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003521674,0.0002571548,0.002075566,0.0002554914,0.00005894676,0.0001101575,0.0002853742,0.768874,0.01601074,0.04139994,0.004798897,0.1655216],"study_design_scores_gemma":[0.00001524288,0.00005173777,0.0001256074,0.00001376237,0.000005554235,0.00002397356,0.00003326213,0.9886498,0.002372777,0.007656921,0.001045372,0.000005872061],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02798683,0.00005760844,0.9696913,0.00007892063,0.00002998139,0.00008187849,0.00008513658,0.0002949281,0.001693461],"genre_scores_gemma":[0.2228694,0.00008664597,0.7730804,0.00009510537,0.00003211743,0.0002779348,0.0004299823,0.0004184738,0.002709867],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00415322,"threshold_uncertainty_score":0.0138939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03845166615690865,"score_gpt":0.2448318863494283,"score_spread":0.2063802201925197,"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."}}