{"id":"W2938395174","doi":"","title":"Indicators of Labour Market Conditions in Advanced Economies | Bulletin – June Quarter 2018","year":2018,"lang":"en","type":"article","venue":"Philadelphia Museum of Art Bulletin","topic":"Regional Development and Policy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Economics; Labour economics; Business; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007375749,0.0001746491,0.0003668013,0.0004657918,0.0001947539,0.00001975036,0.0003894691,0.0001400248,0.01652873],"category_scores_gemma":[0.0001983705,0.0001835132,0.000104476,0.0004393221,0.001080168,0.00008396778,0.00006811829,0.0001322447,0.0008989444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000676942,"about_ca_system_score_gemma":0.0001963589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007194696,"about_ca_topic_score_gemma":0.001010793,"domain_scores_codex":[0.9981976,0.0001886242,0.0006078939,0.0002820053,0.0003080334,0.0004159137],"domain_scores_gemma":[0.9988904,0.000269087,0.0003486453,0.0002361489,0.0001195733,0.0001361513],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001060074,0.0001402959,0.004115134,0.00003727383,0.00003631783,0.000002005348,0.006212802,0.000002736661,0.0001869041,0.02340664,0.9657072,0.00004668467],"study_design_scores_gemma":[0.000545041,0.00007530314,0.04277561,0.00008009642,0.00000662334,7.892359e-7,0.001231354,0.000001252407,0.000407328,0.00136677,0.953315,0.0001948481],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2106637,0.00008751907,0.000008158424,0.6962403,0.0007580831,0.0004907366,0.0001185605,0.00006356576,0.09156938],"genre_scores_gemma":[0.9934481,0.0002757601,0.0006546767,0.0006782389,0.0003101118,0.00003521913,0.0000172659,0.0000178523,0.004562804],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7827844,"threshold_uncertainty_score":0.9998789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0127677559434122,"score_gpt":0.2802849405334005,"score_spread":0.2675171845899883,"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."}}