{"id":"W7067617815","doi":"","title":"Montana Workforce Study - 2022","year":2022,"lang":"en","type":"article","venue":"The Mathematics Enthusiast","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Workforce; Quarter (Canadian coin); Hospitality; Work (physics); Population; Service (business); State (computer science)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003653533,0.0001766346,0.0001315187,0.001015521,0.001308351,0.0006973306,0.0005056734,0.0004385127,0.004899958],"category_scores_gemma":[0.0005651006,0.0001755029,0.0001563585,0.001496027,0.00008625765,0.0004408855,0.000766391,0.0006152208,0.001946455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001691645,"about_ca_system_score_gemma":0.002021603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.183989,"about_ca_topic_score_gemma":0.4438195,"domain_scores_codex":[0.9997889,0.0000387741,0.00001262718,0.0000266861,0.00005932236,0.00007365332],"domain_scores_gemma":[0.9995127,0.00003872976,0.0000846742,0.0000202526,0.000176732,0.0001668984],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003044401,0.0005539969,0.8014824,0.000246013,0.00008427906,0.0005978319,0.00454581,0.0001435629,0.0009219476,0.000660895,0.1581616,0.03229723],"study_design_scores_gemma":[0.00001558782,0.00007866605,0.9564957,0.00007261431,0.00001265778,0.0001234163,0.004856769,0.00007053866,0.0001085473,0.00005297212,0.03810457,0.00000787075],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8577227,0.00128671,0.0001995644,0.003067938,0.0001226008,0.0003536982,0.09486534,0.00007643635,0.04230494],"genre_scores_gemma":[0.7815782,0.001751881,0.0008762601,0.00402556,0.0002150138,0.001888769,0.1194991,0.00004060291,0.09012461],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.183989,"threshold_uncertainty_score":0.3658361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05868054162998051,"score_gpt":0.2264015562255546,"score_spread":0.167721014595574,"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."}}