{"id":"W1998785137","doi":"10.1007/s10664-008-9063-y","title":"Triangulation as a basis for knowledge discovery in software engineering","year":2008,"lang":"en","type":"article","venue":"Empirical Software Engineering","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Software engineering; Triangulation; Basis (linear algebra); Data science; Cartography; Mathematics; Geography","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":[0.0002559228,0.0002350374,0.0002554971,0.0003252309,0.0001048773,0.00009521798,0.0004890905,0.0001392568,0.00001029913],"category_scores_gemma":[0.00585683,0.0002559698,0.000132474,0.0008982507,0.00001812446,0.001009775,0.0001186915,0.0002128235,0.00006195061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003541365,"about_ca_system_score_gemma":0.0001679617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003201353,"about_ca_topic_score_gemma":0.000008343844,"domain_scores_codex":[0.9983948,0.00002085765,0.0004340109,0.0004689371,0.0002128227,0.0004685355],"domain_scores_gemma":[0.9978148,0.001520937,0.00005786771,0.0003833625,0.00009015317,0.0001329268],"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":[0.00006529497,0.0008156775,0.2056507,0.0003919132,0.00008320651,0.00008143189,0.02396342,0.7194746,0.001496292,0.005424828,0.003229987,0.03932275],"study_design_scores_gemma":[0.0006335243,0.0002647145,0.2295062,0.0003823352,0.00001996903,0.0001033906,0.00009842776,0.7291818,0.01572284,0.001158785,0.02135357,0.001574393],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3001591,0.0001857446,0.6980349,0.0001345194,0.0007800966,0.0002544708,0.000002437076,0.0004419526,0.000006788827],"genre_scores_gemma":[0.8183429,0.000009244312,0.1808414,0.00006981952,0.0003226718,0.0001798404,0.000009235014,0.00003960922,0.0001853082],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5181838,"threshold_uncertainty_score":0.9999893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05327967590589569,"score_gpt":0.3145633665390798,"score_spread":0.2612836906331841,"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."}}