{"id":"W1979934682","doi":"10.1021/ie049667a","title":"Feature Selection Methods for Multiphase Reactors Data Classification","year":2005,"lang":"en","type":"article","venue":"Industrial & Engineering Chemistry Research","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Feature selection; Computer science; Classifier (UML); Artificial intelligence; Pattern recognition (psychology); Dimensionality reduction; Data mining; k-nearest neighbors algorithm; 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":[0.003780783,0.001343703,0.00180458,0.003058317,0.0006081237,0.0009689633,0.001031552,0.0009690413,0.001562016],"category_scores_gemma":[0.006780857,0.0003441387,0.001331395,0.002804868,0.0004622584,0.0007289369,0.0006769094,0.001091416,0.0008347955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005701527,"about_ca_system_score_gemma":0.000849136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001550461,"about_ca_topic_score_gemma":0.001313745,"domain_scores_codex":[0.9978332,0.0008006455,0.000240775,0.0003292138,0.0006929396,0.0001033161],"domain_scores_gemma":[0.995693,0.002841808,0.0003006718,0.0002956602,0.0008120012,0.0000568953],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002320303,0.0001793037,0.001725973,0.0003237294,0.0001700957,0.0001680454,0.0001394217,0.100004,0.0126377,0.003854831,0.002887182,0.8776777],"study_design_scores_gemma":[0.00006257767,0.0001521407,0.00255309,0.00004566355,0.00005586358,0.0001457954,0.00006904946,0.9721057,0.01195804,0.007964106,0.004843238,0.00004468434],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009414798,0.000523398,0.9881281,0.0001383563,0.00003309397,0.0001342755,0.0001968053,0.001161164,0.0002699938],"genre_scores_gemma":[0.1778515,0.0005606809,0.818361,0.0001002011,0.0001091141,0.0008026984,0.001047222,0.0001525128,0.001014928],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003780783,"threshold_uncertainty_score":0.01999491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3336692405176088,"score_gpt":0.4722117486370762,"score_spread":0.1385425081194673,"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."}}