{"id":"W2158216526","doi":"10.1136/eb-2013-101494","title":"Understanding triangulation in research","year":2013,"lang":"en","type":"article","venue":"Evidence-Based Nursing","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":561,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Laurentian University","funders":"","keywords":"Triangulation; Proposition; Term (time); Minimum-weight triangulation; Computer science; Field (mathematics); Pitteway triangulation; Constrained Delaunay triangulation; Delaunay triangulation; Artificial intelligence; Mathematics; Algorithm; Epistemology; Geometry; Pure mathematics","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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2504319,0.002197685,0.003459547,0.01564621,0.01454666,0.02718589,0.006993221,0.01527485,0.009748741],"category_scores_gemma":[0.2745717,0.001874962,0.003007854,0.01733886,0.110477,0.0421492,0.02499682,0.01264198,0.001812292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02092737,"about_ca_system_score_gemma":0.02570713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00723124,"about_ca_topic_score_gemma":0.005259068,"domain_scores_codex":[0.5257798,0.426598,0.01394488,0.01119407,0.01834365,0.004139577],"domain_scores_gemma":[0.5123134,0.4244677,0.0133048,0.02514291,0.02170274,0.003068482],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001372279,0.00001091051,0.000380361,0.0008818821,0.0000394261,0.0001644786,0.05670393,0.0004418748,0.00004693312,0.9197793,0.004766467,0.01677065],"study_design_scores_gemma":[0.00002563877,0.00002426944,0.0002071929,0.002422818,0.0000193161,0.0002429076,0.02194421,0.0006666858,0.00008567295,0.8713797,0.1029468,0.00003478666],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007437667,0.04120309,0.6676786,0.1155089,0.007367382,0.002338574,0.0003135868,0.0003351252,0.157817],"genre_scores_gemma":[0.4280659,0.03004661,0.4909988,0.02624854,0.003843968,0.008649179,0.0006110196,0.0005302968,0.01100579],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7495681,"threshold_uncertainty_score":0.9243509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6462538649713446,"score_gpt":0.4882748309421207,"score_spread":0.1579790340292239,"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."}}