{"id":"W2958588221","doi":"","title":"Specifying Distinct Groups in Multivariate Data using Machine Learning","year":2019,"lang":"en","type":"article","venue":"MacEwan University Student Research Proceedings","topic":"Text and Document Classification Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"MacEwan University","funders":"","keywords":"Multivariate statistics; Computer science; Artificial intelligence; Machine learning","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":[0.001728382,0.000144673,0.0001870212,0.000774095,0.0004023225,0.0004166102,0.004168759,0.00008369813,0.0000480167],"category_scores_gemma":[0.0001820165,0.0001508677,0.00002910862,0.001645699,0.0001159183,0.001770268,0.006841844,0.0008347881,0.00009816538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004440195,"about_ca_system_score_gemma":0.00006822253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005666551,"about_ca_topic_score_gemma":0.00008419776,"domain_scores_codex":[0.9974895,0.00007741719,0.0001690058,0.000826187,0.0008676864,0.0005701754],"domain_scores_gemma":[0.9989442,0.0001270297,0.00009754746,0.0005490881,0.0001947938,0.00008733265],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003906895,0.0001748175,0.9138274,0.00006078901,0.00002521521,0.00004939375,0.002667725,0.00002236462,0.009350359,0.06875475,0.0001984331,0.004829741],"study_design_scores_gemma":[0.003609528,0.0003763092,0.5036038,0.00026655,0.00001280454,0.0000158031,0.03107115,0.3714591,0.001650109,0.001767054,0.08528005,0.0008877158],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9859803,0.00004811087,0.005030063,0.001044686,0.00007997168,0.0005666699,0.000004212639,0.0003777853,0.006868149],"genre_scores_gemma":[0.9916747,0.00004212925,0.005953471,0.000007225965,0.00001992987,8.968799e-7,0.000008039371,0.000009260843,0.002284301],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4102235,"threshold_uncertainty_score":0.8527869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2145727113577028,"score_gpt":0.3929637549346773,"score_spread":0.1783910435769744,"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."}}