{"id":"W3121765774","doi":"10.2139/ssrn.2968475","title":"Unemployment, Marginal Attachment and Labor Force Participation in Canada and the United States","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Unemployment; Labour economics; Economics; Demographic economics; Economic growth","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001032201,0.0002313639,0.0006577411,0.001996268,0.004834858,0.003180911,0.001586258,0.001212377,0.004681854],"category_scores_gemma":[0.003696535,0.0002775669,0.0006900787,0.005616203,0.001717726,0.0009696517,0.002112616,0.001402041,0.0003962551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01872827,"about_ca_system_score_gemma":0.02621661,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9931657,"about_ca_topic_score_gemma":0.9966092,"domain_scores_codex":[0.998791,0.00009963344,0.00005131968,0.00009497194,0.0001780632,0.0007850032],"domain_scores_gemma":[0.9964251,0.0003828235,0.0004389874,0.00007076473,0.0007970905,0.001885278],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002402103,0.0001280853,0.9867845,0.00002523039,0.00007180611,0.00009887729,0.002842088,0.0005549445,0.00006418085,0.001597222,0.002157879,0.005435009],"study_design_scores_gemma":[0.000008994268,0.00001456487,0.9898676,0.00006129117,0.00002235841,0.00002153926,0.007650204,0.0006626113,0.0000243822,0.0002320371,0.00141917,0.00001534841],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994335,0.001184997,0.0000409405,0.000769412,0.00001730646,0.000007681963,0.001628382,0.000004788581,0.002011546],"genre_scores_gemma":[0.9968189,0.0004848773,0.00002580889,0.00009290646,0.00000870088,0.00000583013,0.001028934,0.000004312193,0.001529695],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01872827,"threshold_uncertainty_score":0.1358837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01483873065879499,"score_gpt":0.2494151763594721,"score_spread":0.2345764457006771,"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."}}