{"id":"W2113234648","doi":"10.1145/1274000.1274028","title":"Computational intelligence techniques","year":2007,"lang":"en","type":"article","venue":"","topic":"Hops Chemistry and Applications","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Cluster analysis; Computer science; Particle swarm optimization; Set (abstract data type); Rough set; Data set; Data mining; Artificial intelligence; Genetic programming; Swarm intelligence; Pattern recognition (psychology); 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002431324,0.0015151,0.001656301,0.002882361,0.0008418992,0.005477144,0.00198234,0.001703558,0.01299012],"category_scores_gemma":[0.007037713,0.0005414986,0.001614107,0.002915559,0.00193362,0.002723038,0.002734518,0.002214101,0.005091761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001271729,"about_ca_system_score_gemma":0.001831187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001496863,"about_ca_topic_score_gemma":0.0009735396,"domain_scores_codex":[0.9978071,0.0006694319,0.0002131643,0.0004146723,0.0007915393,0.0001041194],"domain_scores_gemma":[0.9970832,0.001603685,0.0001426252,0.0006506844,0.0004514235,0.00006830582],"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":[0.00005623765,0.00008124134,0.001307185,0.001707832,0.0003093631,0.0003042095,0.0003145419,0.05228383,0.001275606,0.6032361,0.0320075,0.3071163],"study_design_scores_gemma":[0.00003645442,0.00006940473,0.0005490767,0.0004567195,0.000057628,0.0002947762,0.000191134,0.09159476,0.0009606023,0.7090808,0.196661,0.00004772242],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004850983,0.02366939,0.8347112,0.007747536,0.001611964,0.0004722637,0.001274322,0.001667793,0.1239945],"genre_scores_gemma":[0.1658373,0.03279785,0.7545418,0.002268511,0.00204551,0.001705321,0.003188815,0.0003666532,0.03724817],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01299012,"threshold_uncertainty_score":0.04345626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1417647250601468,"score_gpt":0.5100552781752423,"score_spread":0.3682905531150955,"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."}}