{"id":"W4254801721","doi":"10.1111/1468-0319.12019","title":"Labour market","year":2013,"lang":"en","type":"article","venue":"Economic Outlook","topic":"Unemployment and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Economics; Unemployment; Unemployment rate; Labour economics; Demographic economics; Macroeconomics; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001797358,0.0004710351,0.000612294,0.001849304,0.002346135,0.004981343,0.001176853,0.002049724,0.3160899],"category_scores_gemma":[0.005624781,0.0002726382,0.0005025149,0.002192428,0.0006499237,0.001921475,0.002038859,0.001798936,0.209081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002738082,"about_ca_system_score_gemma":0.005122173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01567225,"about_ca_topic_score_gemma":0.01895999,"domain_scores_codex":[0.997591,0.000220521,0.0001026782,0.000322435,0.001053009,0.0007103287],"domain_scores_gemma":[0.9984591,0.0001529833,0.0001121664,0.000176012,0.000647758,0.0004520734],"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":[0.00007275087,0.00008713752,0.003204745,0.0001370255,0.000008404451,0.0001173646,0.0004546952,0.00008947572,0.0003276792,0.06243473,0.8021012,0.1309648],"study_design_scores_gemma":[0.00001547636,0.00003688499,0.008612631,0.0001034239,0.000002143987,0.00005125719,0.0003493176,0.00005187549,0.00005313795,0.003164484,0.9875506,0.000008759058],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005146611,0.00330862,0.0009535656,0.01354159,0.001678815,0.0002723262,0.01587302,0.0003998159,0.9588256],"genre_scores_gemma":[0.02716575,0.002028963,0.0005030768,0.004649356,0.0006794397,0.0003563534,0.009496157,0.000135012,0.9549859],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3160899,"threshold_uncertainty_score":0.9755148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01534708460743359,"score_gpt":0.1778239524873265,"score_spread":0.1624768678798929,"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."}}