{"id":"W2173195127","doi":"10.19030/iber.v9i12.343","title":"Characteristics Of The Unemployed In Canada: Leavers, Losers And Layoffs","year":2010,"lang":"en","type":"article","venue":"International Business & Economics Research Journal (IBER)","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Layoff; Unemployment; Demographic economics; Human capital; Logistic regression; Variance (accounting); Logit; Economics; Labour economics; Econometrics; Statistics; Economic growth; Mathematics","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":[0.0005450568,0.0001714226,0.0003311665,0.001973806,0.003064046,0.001051975,0.0006200529,0.0003603011,0.0021497],"category_scores_gemma":[0.001716815,0.0001941371,0.0003349498,0.002497199,0.0005661665,0.0003693984,0.0009704785,0.0006424372,0.0002871304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006299861,"about_ca_system_score_gemma":0.01170929,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.97219,"about_ca_topic_score_gemma":0.9879748,"domain_scores_codex":[0.9993986,0.00003288501,0.00003856332,0.00005814714,0.0002070251,0.0002647325],"domain_scores_gemma":[0.9983884,0.00007001077,0.0004167722,0.00003759147,0.0003957308,0.0006914272],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000546281,0.00002386896,0.9932768,0.00001658397,0.00001345683,0.00009423743,0.001560881,0.00008740251,0.0001545076,0.00008051543,0.0005519356,0.004085222],"study_design_scores_gemma":[0.000001248874,0.00001195126,0.996421,0.00001645094,0.000004422453,0.00003266582,0.002809154,0.00009821316,0.00002180508,0.00001650676,0.0005605388,0.000006103124],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976056,0.0001512549,0.0000341252,0.0001490108,0.000004105955,0.00001290487,0.001150069,0.000002770037,0.0008900174],"genre_scores_gemma":[0.997674,0.0001825184,0.00004470017,0.00004532569,0.00000319924,0.000006147167,0.0008481323,0.000002759838,0.001193117],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02781004,"threshold_uncertainty_score":0.0559476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06145569605719348,"score_gpt":0.390567993392483,"score_spread":0.3291122973352895,"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."}}