{"id":"W2977682032","doi":"10.33423/jabe.v20i7.145","title":"The Impact of Cohort Size on Labour Force Participation in Canada","year":2018,"lang":"en","type":"article","venue":"Journal of Applied Business and Economics","topic":"Global Health Care Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Cohort; Cohort effect; Demography; Panel data; Estimation; Demographic economics; Instrumental variable; Cohort study; Economics; Medicine; Econometrics; Statistics; Mathematics; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.003636339,0.0003135543,0.0004020044,0.001466088,0.002235387,0.001267433,0.001169637,0.0003907976,0.003327842],"category_scores_gemma":[0.01071183,0.0002307546,0.001038733,0.00258599,0.0009068996,0.0005193133,0.001259622,0.0009903833,0.0002301578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01903525,"about_ca_system_score_gemma":0.04680217,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9933323,"about_ca_topic_score_gemma":0.9948725,"domain_scores_codex":[0.9977728,0.0003102578,0.00009103859,0.0003338938,0.0006203437,0.0008718124],"domain_scores_gemma":[0.990384,0.001685561,0.001562146,0.0006826554,0.003878817,0.001806823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001766418,0.0000220654,0.9835059,0.00003926505,0.0001874114,0.0001346248,0.001099827,0.0007194408,0.0001636479,0.0008556891,0.003190874,0.009904531],"study_design_scores_gemma":[0.00000785853,0.00001489828,0.9954224,0.00004985826,0.00005743737,0.0000282757,0.0008672007,0.0006086801,0.00008339143,0.00008291128,0.002764222,0.00001283067],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9775547,0.002788365,0.0004822602,0.002848567,0.00007409742,0.0000484866,0.01139084,0.00002975953,0.004782923],"genre_scores_gemma":[0.9941667,0.0008217647,0.0001959151,0.0001944578,0.0000121363,0.00001673833,0.00260585,0.000009958703,0.001976421],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01903525,"threshold_uncertainty_score":0.1381111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02290307444260043,"score_gpt":0.3669886109243644,"score_spread":0.344085536481764,"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."}}