{"id":"W2129104832","doi":"10.15388/ljs.2011.13935","title":"Employment and Unemployment Trends in the Baltic Countries and Statistical Regions of Latvia, 1998–2011","year":2011,"lang":"en","type":"article","venue":"Lithuanian Journal of Statistics","topic":"Regional Development and Policy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Unemployment; Private sector; Boom; Public sector; Economics; Labour economics; Unemployment rate; Demographic economics; Economy; Economic growth; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003590399,0.0002231413,0.0002133018,0.001938615,0.0004577169,0.0006973336,0.0002342035,0.0002403776,0.001295505],"category_scores_gemma":[0.0005641496,0.0001969623,0.0003454326,0.002731741,0.0002590955,0.0003580186,0.0005871066,0.0002083633,0.0003838557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006087489,"about_ca_system_score_gemma":0.0005135642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02188564,"about_ca_topic_score_gemma":0.06110495,"domain_scores_codex":[0.9997492,0.00004823013,0.00004739363,0.00003604679,0.00003590837,0.00008318476],"domain_scores_gemma":[0.9995436,0.0000570425,0.0002525161,0.00001395982,0.00009117817,0.00004173318],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001125165,0.00002782554,0.9864391,0.000109144,0.00008782434,0.0003838504,0.001467931,0.0004843758,0.000508874,0.000200708,0.001110912,0.009067037],"study_design_scores_gemma":[0.000001992728,0.00001973689,0.9965547,0.00003321036,0.00001475603,0.0001438144,0.001163028,0.0001553648,0.00007969456,0.00001443171,0.001815645,0.000003675703],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946807,0.001053631,0.00004473754,0.00007645596,0.000008396823,0.000003708753,0.002005023,0.0000075187,0.002119733],"genre_scores_gemma":[0.9936631,0.0007118011,0.00008927495,0.00003149873,0.00001028506,0.00001733365,0.00399123,0.000004360732,0.001481126],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02188564,"threshold_uncertainty_score":0.04351652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05925515772102005,"score_gpt":0.3202892451121617,"score_spread":0.2610340873911416,"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."}}