{"id":"W2741982842","doi":"","title":"The Institutional Landscapes of Salvadoran Transnational Migration: Trans-Local Views from Los Angeles and Toronto","year":2007,"lang":"en","type":"book-chapter","venue":"TSpace (University of Toronto)","topic":"Latin American and Latino Studies","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic geography; Geography; Political science; Regional science","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":[0.0004449178,0.0004625965,0.0002471106,0.001044907,0.01270722,0.006370702,0.0009298021,0.0007572763,0.005103909],"category_scores_gemma":[0.0007155471,0.0002011351,0.000169813,0.002988319,0.01032929,0.00209711,0.003409035,0.001576306,0.000285387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05853402,"about_ca_system_score_gemma":0.01581727,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.864337,"about_ca_topic_score_gemma":0.9462684,"domain_scores_codex":[0.999575,0.0001566448,0.00001538854,0.00004027562,0.00006500289,0.0001476966],"domain_scores_gemma":[0.9996017,0.0001119998,0.00005246543,0.00001926888,0.00006091613,0.0001538032],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001722832,0.000009682277,0.002118643,0.0001555293,0.0000083029,0.0007837695,0.8259895,0.0001504812,0.0002756264,0.1345387,0.02543143,0.01052106],"study_design_scores_gemma":[0.000004091507,0.00001030891,0.009111527,0.0002311327,0.00001549338,0.000204468,0.6145213,0.00006759824,0.0001433277,0.001939131,0.3737363,0.00001526423],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.427489,0.06548964,0.0008709162,0.03640031,0.0005451302,0.00006117213,0.00037769,0.00008914508,0.468677],"genre_scores_gemma":[0.9001238,0.02232126,0.0003892157,0.0008539588,0.000105149,0.00007272924,0.0001858595,0.0000569499,0.0758911],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.135663,"threshold_uncertainty_score":0.4246961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02650488653393529,"score_gpt":0.2647312448914962,"score_spread":0.238226358357561,"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."}}