{"id":"W4200177682","doi":"10.3390/su14010040","title":"A Novel Feature Selection Technique to Better Predict Climate Change Stage of Change","year":2021,"lang":"en","type":"article","venue":"Sustainability","topic":"Environmental Education and Sustainability","field":"Environmental Science","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; Université Laval; Polytechnique Montréal","funders":"","keywords":"Overfitting; Feature selection; Random forest; Artificial intelligence; Machine learning; Elastic net regularization; Computer science; Selection (genetic algorithm); Feature (linguistics); Linear discriminant analysis; Lasso (programming language); Quadratic classifier; Principal component analysis; Climate change; Data mining; Pattern recognition (psychology); Support vector machine; Artificial neural network; Ecology","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":[0.001450176,0.0008882936,0.0007482437,0.001579452,0.0004325954,0.0005918855,0.0004764325,0.0004541646,0.001097634],"category_scores_gemma":[0.002774527,0.0001595382,0.001174403,0.001332433,0.0002069877,0.0005919148,0.0004376082,0.0006878967,0.0003796099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002808805,"about_ca_system_score_gemma":0.0007533485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003684681,"about_ca_topic_score_gemma":0.002747144,"domain_scores_codex":[0.9994569,0.0001332671,0.00006262629,0.0001435608,0.0001364788,0.00006713068],"domain_scores_gemma":[0.9990973,0.0003893855,0.0000871123,0.00006108278,0.0003363862,0.00002882527],"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":[0.0004571972,0.0005415828,0.0472854,0.0002529219,0.0003902767,0.0003336423,0.0001874291,0.1326881,0.02626278,0.002451811,0.009327748,0.779821],"study_design_scores_gemma":[0.00003712875,0.0002262159,0.02201687,0.00002663341,0.0001047549,0.0001802928,0.00006890739,0.9666794,0.005797816,0.001524349,0.003304481,0.00003310882],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1435999,0.0005645539,0.8514168,0.0004079257,0.00015491,0.0002033033,0.0009942319,0.0011775,0.001480819],"genre_scores_gemma":[0.8263971,0.0002615254,0.1691383,0.0001267127,0.0001206964,0.0003390489,0.001950104,0.00005187196,0.001614606],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003684681,"threshold_uncertainty_score":0.007669389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01757269991873647,"score_gpt":0.2795650417065442,"score_spread":0.2619923417878078,"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."}}