{"id":"W4230496309","doi":"10.1145/3067695.3067712","title":"Introductory statistics for EC","year":2017,"lang":"en","type":"article","venue":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","topic":"Evolutionary Algorithms and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Citation; Computer science; Library science; Information retrieval; World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.008060184,0.001583407,0.001555968,0.006135102,0.001025589,0.005297076,0.001884588,0.002393513,0.3094814],"category_scores_gemma":[0.09378567,0.0009004016,0.001250466,0.00987226,0.001004845,0.005904287,0.002545328,0.003926513,0.1634704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002431447,"about_ca_system_score_gemma":0.005601908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004952432,"about_ca_topic_score_gemma":0.00445755,"domain_scores_codex":[0.9932828,0.002586532,0.0007489005,0.0006787745,0.002302078,0.0004008032],"domain_scores_gemma":[0.9334152,0.0408237,0.002407644,0.006952724,0.01443616,0.001964517],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003248922,0.00002154046,0.0002539353,0.0001668305,0.000007901756,0.00003454296,0.00003591376,0.0006516473,0.00009285818,0.01232115,0.9187174,0.06766379],"study_design_scores_gemma":[0.00001987608,0.00004123525,0.0007818039,0.0002792791,0.00000628067,0.0001273989,0.00006875817,0.00189744,0.0001964734,0.05052227,0.9460276,0.00003162184],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.002079079,0.01145571,0.430456,0.03744437,0.01776583,0.001767787,0.1002513,0.04450558,0.3542744],"genre_scores_gemma":[0.04767793,0.02428024,0.3234017,0.02583534,0.03550173,0.009909117,0.1793878,0.0412309,0.3127753],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.3094814,"threshold_uncertainty_score":0.984941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0256752857116253,"score_gpt":0.2639686961726163,"score_spread":0.238293410460991,"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."}}