{"id":"W2130249229","doi":"10.29310/wp.2013.08","title":"The incidence and persistence of cyclical job loss in New Zealand","year":2013,"lang":"en","type":"report","venue":"Motu working paper","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministry of Business, Innovation and Employment; University of Waikato","keywords":"Quarter (Canadian coin); Unemployment; Earnings; Turnover; Wage growth; Labour economics; Market liquidity; Wage; Economics; Demographic economics; Job loss; Business cycle; Financial crisis; Monetary economics; Geography; Finance; Economic growth","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001073233,0.0002479588,0.0005458465,0.0000728373,0.0005791908,0.00001714376,0.0002667877,0.0003908763,0.0001448311],"category_scores_gemma":[0.0005813225,0.0001559263,0.00008811698,0.0001668594,0.0002190701,0.00005319713,0.0004290579,0.001039173,0.00003497388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001615239,"about_ca_system_score_gemma":0.000691312,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007989743,"about_ca_topic_score_gemma":0.01046859,"domain_scores_codex":[0.9975989,0.0002331626,0.0007318748,0.0003517984,0.0005594072,0.0005248815],"domain_scores_gemma":[0.9977202,0.001238597,0.000401513,0.0003818078,0.0001607236,0.0000971708],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001494234,0.000007258976,0.8955347,0.0001299185,0.00004189393,0.00000768482,0.002420002,2.399985e-7,0.000007693046,0.00009605667,0.0904521,0.01128753],"study_design_scores_gemma":[0.0001714356,0.00001736264,0.5118174,0.001690704,0.00002588436,0.000002611782,0.0003775444,8.167228e-7,3.707773e-7,0.0003367664,0.4854438,0.0001153494],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5830681,0.04068392,0.000006070969,0.03893166,0.005021373,0.002775392,0.00001281016,0.0001358388,0.3293649],"genre_scores_gemma":[0.7045095,0.03219148,0.00005995169,0.0004973377,0.00115701,0.0001256929,0.000007964365,0.00005728267,0.2613938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3949917,"threshold_uncertainty_score":0.9986162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0955581686787627,"score_gpt":0.386658362867542,"score_spread":0.2911001941887792,"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."}}