{"id":"W3094200538","doi":"","title":"Migración desde la ex URSS: la diáspora veinticinco años después","year":2018,"lang":"es","type":"article","venue":"Dialnet (Universidad de la Rioja)","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Art","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":[0.0006751801,0.0001432051,0.0001363139,0.0003904138,0.005616661,0.002880485,0.000317464,0.000604616,0.005823718],"category_scores_gemma":[0.0009311102,0.00008813416,0.0001121035,0.0005812437,0.002866669,0.001527352,0.003932817,0.001218118,0.0004012113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001982911,"about_ca_system_score_gemma":0.003346472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05661235,"about_ca_topic_score_gemma":0.1033037,"domain_scores_codex":[0.9994708,0.000173058,0.00001181575,0.00003981128,0.00003502721,0.0002695782],"domain_scores_gemma":[0.9995431,0.00007421018,0.0000852107,0.00003098318,0.00005782158,0.0002088107],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0002442349,0.00009750226,0.08803724,0.0001416034,0.00001837504,0.005011867,0.5994031,0.0001161829,0.001692646,0.2032457,0.01189309,0.09009847],"study_design_scores_gemma":[0.00001824565,0.0001149976,0.08518379,0.000443727,0.00001363529,0.001357006,0.5973489,0.0001292095,0.0003792476,0.008125233,0.3068658,0.00002031636],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9231955,0.001861486,0.0002791382,0.007354307,0.0001639914,0.0000129862,0.00006134132,0.000009780721,0.06706146],"genre_scores_gemma":[0.9831206,0.001291075,0.00009151411,0.0004873963,0.0000412776,0.00001069073,0.00002416836,0.000006059432,0.01492728],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05661235,"threshold_uncertainty_score":0.1125656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008591745863602307,"score_gpt":0.2870645518239119,"score_spread":0.2784728059603096,"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."}}