{"id":"W2923575027","doi":"","title":"Firm-level Insights into Skills Shortages and Wages Growth | Bulletin – March 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); Economic shortage; Labour economics; Business; 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":[0.0007795558,0.0001503026,0.0001842075,0.001481081,0.000899863,0.003724979,0.000286833,0.0008020094,0.02352741],"category_scores_gemma":[0.005000789,0.0001688684,0.0001622695,0.003987795,0.0004137837,0.001432187,0.0007609563,0.001302332,0.003673149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002763749,"about_ca_system_score_gemma":0.002792815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09039582,"about_ca_topic_score_gemma":0.2344897,"domain_scores_codex":[0.9996351,0.00005540773,0.00002327807,0.00003485186,0.0001454033,0.0001060628],"domain_scores_gemma":[0.9955801,0.00158719,0.001130156,0.00007192777,0.0009207017,0.0007097344],"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":[0.0001243752,0.000354043,0.3289089,0.0001813203,0.00004112176,0.0001927017,0.001286407,0.0006626989,0.0001951213,0.008187212,0.590718,0.06914815],"study_design_scores_gemma":[0.00001350573,0.00005658093,0.8810943,0.000168284,0.00001513488,0.00002648851,0.006110729,0.0006422901,0.0001176485,0.003084377,0.1086522,0.00001846817],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4490988,0.01581991,0.0006203043,0.2401229,0.002259769,0.00006183976,0.03126076,0.0001690631,0.2605866],"genre_scores_gemma":[0.8521705,0.008308413,0.000240081,0.00499276,0.002246809,0.00005939528,0.01213087,0.00005082174,0.1198005],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09039582,"threshold_uncertainty_score":0.1797393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02317965533614044,"score_gpt":0.318585542431195,"score_spread":0.2954058870950546,"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."}}