{"id":"W2595332148","doi":"","title":"The role of non-participants in labour market dynamics","year":2017,"lang":"en","type":"article","venue":"","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Quarter (Canadian coin); Economics; Labour economics; Unemployment rate; Mainstream; Wage; Business cycle; Dynamics (music); Value (mathematics); Demographic economics; Macroeconomics; Political science; Psychology","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":[0.005686363,0.0002191192,0.0005174098,0.0008806956,0.001259533,0.00187346,0.0007982471,0.0004890679,0.005487619],"category_scores_gemma":[0.01699276,0.0002141402,0.0004067064,0.001288486,0.0008817296,0.001860986,0.001605376,0.001376002,0.0007990542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007036069,"about_ca_system_score_gemma":0.0008153209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01987654,"about_ca_topic_score_gemma":0.02555924,"domain_scores_codex":[0.996182,0.001660949,0.0002643417,0.0007023279,0.0006767365,0.0005136472],"domain_scores_gemma":[0.9871325,0.005948803,0.004201564,0.001164987,0.0007062691,0.0008458195],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001976861,0.0001069384,0.9524141,0.0001118059,0.0001033252,0.0001863676,0.007388035,0.000608999,0.0005421746,0.006745757,0.001878235,0.02971655],"study_design_scores_gemma":[0.00001170791,0.0000551454,0.9777727,0.00009064848,0.00003269336,0.00009731564,0.003801308,0.001739998,0.00026481,0.005514385,0.0105988,0.00002048401],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9833153,0.0008341608,0.003204464,0.001370482,0.00005594533,0.0001034645,0.002584879,0.00001903257,0.008512201],"genre_scores_gemma":[0.9962126,0.0002136238,0.0004888837,0.0001472434,0.00004137584,0.00005380127,0.001089784,0.000008889057,0.001743828],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01987654,"threshold_uncertainty_score":0.03952169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02016418194444406,"score_gpt":0.2503143420796773,"score_spread":0.2301501601352333,"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."}}