{"id":"W2286295015","doi":"10.1007/s10198-015-0760-3","title":"Crisis, suicide and labour productivity losses in Spain","year":2016,"lang":"en","type":"article","venue":"The European Journal of Health Economics","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Ministerio de Economía y Competitividad; World Health Organization","keywords":"Recession; Unemployment; Productivity; Salary; Human capital; Demographic economics; Economics; Suicide rates; Euros; Quarter (Canadian coin); Panel data; Suicide prevention; Labour economics; Poison control; Demography; Geography; Economic growth; Medicine; Macroeconomics; Sociology; Environmental health","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":[0.01099843,0.0001073467,0.0003324911,0.00009081369,0.0004017213,0.000007499845,0.0001841698,0.00001580468,0.00003063914],"category_scores_gemma":[0.0002789592,0.00005622751,0.00003546011,0.00005056732,0.0000768586,0.0001647205,0.0001269089,0.0003218593,0.00004450654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000146767,"about_ca_system_score_gemma":0.00021113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001331583,"about_ca_topic_score_gemma":0.000421853,"domain_scores_codex":[0.9956795,0.002864634,0.0009231708,0.0001289564,0.00005110158,0.0003526375],"domain_scores_gemma":[0.9983312,0.0004987197,0.0008226753,0.0001843034,0.00007231726,0.00009078452],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000238521,0.00008910909,0.8075992,0.0002593806,0.00007407126,0.00002277063,0.009142535,0.00001156642,0.0000458918,0.006316768,0.02163081,0.1545693],"study_design_scores_gemma":[0.001278622,0.0002227538,0.8905143,0.0003494877,0.000006760434,0.0000160136,0.002338622,7.182645e-7,0.000007930149,0.003230802,0.1019323,0.0001017651],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8211142,0.001794329,0.00008005097,0.1752642,0.0004522754,0.0002034333,0.000007797438,0.000008402305,0.001075372],"genre_scores_gemma":[0.9897635,0.00660018,0.00008136217,0.00239121,0.0006418725,0.000001702446,1.865211e-7,0.00002418133,0.0004958227],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.172873,"threshold_uncertainty_score":0.3811858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07431426358468864,"score_gpt":0.3658542443110508,"score_spread":0.2915399807263622,"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."}}