{"id":"W2952218375","doi":"","title":"Wages Growth by Pay-setting Method | Bulletin – June Quarter 2019","year":2019,"lang":"en","type":"article","venue":"Philadelphia Museum of Art Bulletin","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Economics; Geography","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":[0.002508637,0.0005529386,0.000392918,0.00254541,0.001101118,0.003825759,0.0007879381,0.0009238859,0.1447864],"category_scores_gemma":[0.01150633,0.0004703803,0.0004407795,0.003109243,0.000287915,0.001297129,0.0008970893,0.002048294,0.07828417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002420056,"about_ca_system_score_gemma":0.002015956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0253388,"about_ca_topic_score_gemma":0.06642168,"domain_scores_codex":[0.9976186,0.000284565,0.0001451295,0.0001976364,0.001506269,0.0002478145],"domain_scores_gemma":[0.9928161,0.001462381,0.0005247259,0.0004621331,0.00398043,0.0007541541],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001019553,0.00008279462,0.003081019,0.00003405794,0.000005199327,0.000007550821,0.0000269775,0.0000485445,0.00009364303,0.000468976,0.9536968,0.04235252],"study_design_scores_gemma":[0.00009111571,0.0001811123,0.1448552,0.0001705992,0.00001266968,0.00005828386,0.0003494688,0.0005615859,0.000876153,0.0006273012,0.8521827,0.0000338538],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02811981,0.0047212,0.002381135,0.05030334,0.02028625,0.0005447197,0.08117571,0.003342801,0.8091251],"genre_scores_gemma":[0.07145341,0.00225191,0.002086576,0.002899253,0.003763074,0.0003272474,0.03777368,0.0009142439,0.8785305],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1447864,"threshold_uncertainty_score":0.4843588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01657145357646633,"score_gpt":0.3357949449563077,"score_spread":0.3192234913798414,"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."}}