{"id":"W2051550601","doi":"10.1080/00273171.2014.905766","title":"On Johnson's (2000) Relative Weights Method for Assessing Variable Importance: A Reanalysis","year":2014,"lang":"en","type":"article","venue":"Multivariate Behavioral Research","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Carleton University","funders":"","keywords":"Variable (mathematics); Metric (unit); Statistics; Mathematics; Linear regression; Regression; Regression analysis; Econometrics; Computer science; Engineering","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":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00989653,0.0003327251,0.0007348553,0.0003908654,0.0007293457,0.0001876714,0.0003935597,0.0002859591,0.0002774607],"category_scores_gemma":[0.01290955,0.0002657295,0.0001992898,0.00076976,0.0001435605,0.0003861615,0.0001544322,0.0009543991,0.00002545795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004309401,"about_ca_system_score_gemma":0.000219853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003497524,"about_ca_topic_score_gemma":0.00002206782,"domain_scores_codex":[0.9941757,0.002015394,0.0006529,0.0009459989,0.001114198,0.001095826],"domain_scores_gemma":[0.9811518,0.01643651,0.0002279661,0.0008708864,0.0009657691,0.000347128],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00022912,0.0005915366,0.00006664327,0.00007005373,0.00005718797,0.00001225632,0.0004410424,0.0000733929,0.004054929,0.9486462,0.0008522852,0.04490528],"study_design_scores_gemma":[0.001131924,0.0004041931,0.0002081893,0.0001166275,0.0001632011,0.000001964841,0.0000961896,0.08816712,0.0009464714,0.9034936,0.004951315,0.0003191322],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007034649,0.0000185739,0.9860689,0.0001733712,0.000114345,0.0009912873,0.00009924144,0.0001006279,0.005399008],"genre_scores_gemma":[0.0321337,0.000004647968,0.9624586,0.00003770135,0.0001429106,0.0004341865,0.00003336154,0.00009850589,0.004656417],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.08809373,"threshold_uncertainty_score":0.9999795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4015639991587576,"score_gpt":0.5945831617637344,"score_spread":0.1930191626049768,"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."}}