{"id":"W2125503860","doi":"10.1016/j.tust.2011.08.006","title":"Hard-rock LHD cost estimation using single and multiple regressions based on principal component analysis","year":2011,"lang":"en","type":"article","venue":"Tunnelling and Underground Space Technology","topic":"Mining Techniques and Economics","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Principal component analysis; Linear regression; Principal component regression; Regression analysis; Multivariable calculus; Statistics; Regression; Mathematics; Engineering; Computer science; Control 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":[],"consensus_categories":[],"category_scores_codex":[0.0001244126,0.0001885619,0.0002831919,0.0005388987,0.0001720524,0.00003770287,0.0000928615,0.0002345352,0.00001547605],"category_scores_gemma":[0.00002713499,0.0001939173,0.0000434883,0.0002944669,0.00007081268,0.00006883809,0.00004457045,0.0002163267,0.000002685719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009297801,"about_ca_system_score_gemma":0.000007853405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006595616,"about_ca_topic_score_gemma":0.00005899321,"domain_scores_codex":[0.9991871,0.00001300776,0.0002093407,0.0002782965,0.00005280542,0.0002594239],"domain_scores_gemma":[0.9994709,0.00007323617,0.00006928089,0.0002944028,0.00001861936,0.00007357999],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006454589,0.0001919174,0.0306258,0.0001077111,0.0003210042,0.00001958037,0.0005166289,0.9439071,0.01097161,0.009344498,0.00007331271,0.003856317],"study_design_scores_gemma":[0.0002570988,0.00008433511,0.0009786814,0.00005976474,0.000122909,0.00001122695,0.0001710176,0.9928245,0.003482162,0.001563136,0.0002284353,0.0002167412],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5957013,0.00009770165,0.4031974,0.0000774513,0.00004471864,0.00009990474,0.000003796633,0.0005187859,0.000258903],"genre_scores_gemma":[0.9163463,0.00009171476,0.08345722,0.00001781895,0.00001128156,0.000008248171,0.00000970791,0.00002798198,0.00002972205],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.320645,"threshold_uncertainty_score":0.7907718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05921171328120573,"score_gpt":0.2379635327502534,"score_spread":0.1787518194690477,"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."}}