{"id":"W7006618717","doi":"","title":"Unemployment Rises Sharply Among Latino Immigrants in 2008","year":2009,"lang":"en","type":"other","venue":"Issue Lab (Candid)","topic":"Subterranean biodiversity and taxonomy","field":"Earth and Planetary Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Quarter (Canadian coin); Unemployment; Population; Job loss","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":[0.0002731552,0.000142755,0.0001377706,0.001053144,0.0004769558,0.0005973485,0.000313352,0.0003580608,0.002088878],"category_scores_gemma":[0.0008386381,0.0001039824,0.0001987417,0.00184177,0.0001114463,0.0003399328,0.0005995427,0.0003896586,0.0007266609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007090029,"about_ca_system_score_gemma":0.001281691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1879448,"about_ca_topic_score_gemma":0.3353107,"domain_scores_codex":[0.999868,0.00001707707,0.00001427455,0.00001902871,0.00003703327,0.0000444621],"domain_scores_gemma":[0.9994911,0.00003082963,0.0001882594,0.00001533444,0.000189587,0.00008487408],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009905841,0.00005526181,0.9429353,0.00006026531,0.00002892138,0.0001661335,0.0006822126,0.0001412374,0.0002253449,0.0001851047,0.0371161,0.01830513],"study_design_scores_gemma":[0.000006966748,0.00001627114,0.9868352,0.00004635386,0.00001301621,0.00006001164,0.00208546,0.0001509959,0.00009972,0.00002687564,0.01065422,0.000004846803],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9476261,0.0008662362,0.00007431159,0.003431542,0.0001195578,0.00002246631,0.03731117,0.00004967163,0.01049888],"genre_scores_gemma":[0.9231187,0.002191735,0.0003118322,0.001257424,0.000199421,0.00007998523,0.05502438,0.00003697339,0.01777956],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1879448,"threshold_uncertainty_score":0.3737016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0193044248794497,"score_gpt":0.2000287253770315,"score_spread":0.1807243004975818,"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."}}