{"id":"W1889811593","doi":"10.1007/978-3-540-24855-2_67","title":"On Multi-class Classification by Way of Niching","year":2004,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Evolutionary Algorithms and Applications","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; Population; Artificial intelligence; Classifier (UML); Machine learning; Class (philosophy); Niche; Context (archaeology); Data mining; Theoretical computer science","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":[0.0004372671,0.0003349994,0.0003271522,0.0004377109,0.0002391005,0.0001396954,0.002414091,0.0002374108,0.00001232174],"category_scores_gemma":[0.00004636241,0.0003119748,0.0001034046,0.0005117471,0.0004959577,0.0003613687,0.0004531954,0.0005791159,0.00003810174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003668494,"about_ca_system_score_gemma":0.0003881881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002513474,"about_ca_topic_score_gemma":0.00001264609,"domain_scores_codex":[0.9972618,0.0000199016,0.000482354,0.001140797,0.0007340329,0.0003611122],"domain_scores_gemma":[0.9978009,0.0003197957,0.0003546539,0.001220706,0.0001914375,0.0001124832],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002619101,0.0001732188,0.00001161287,0.00002866952,0.000009394776,0.000005528846,0.0003740946,0.0636203,0.001889662,0.6025292,0.00009078629,0.3312649],"study_design_scores_gemma":[0.0002960857,0.0001263788,0.0002404917,0.0002712951,0.000004163018,0.00001040427,1.335369e-7,0.7464512,0.001799281,0.2495954,0.000815642,0.0003895758],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00008969552,0.0002120346,0.9954236,0.001250938,0.0004845821,0.0003125099,0.00001498996,0.00009548845,0.002116152],"genre_scores_gemma":[0.393562,0.00005630335,0.6048946,0.0007965514,0.0001631086,0.00002197342,0.00002085928,0.00002985777,0.0004546529],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6828309,"threshold_uncertainty_score":0.9999332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02166338842880182,"score_gpt":0.2573846756756974,"score_spread":0.2357212872468956,"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."}}