{"id":"W7165504008","doi":"","title":"Senderos de integración silenciosa en América del Norte","year":2010,"lang":"es","type":"article","venue":"MiCISAN","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Globalization; Enforcement; Social security; Commission; Homeland security; Immigration","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":[0.0004619244,0.0002075768,0.0002253715,0.00007529277,0.0004112346,0.0001651123,0.0005744179,0.0003287014,0.0003929238],"category_scores_gemma":[0.0005077131,0.000217975,0.0001545908,0.0003428922,0.000429813,0.0001754055,0.00006092279,0.0006954079,0.0005399468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002010539,"about_ca_system_score_gemma":0.0006801771,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2239573,"about_ca_topic_score_gemma":0.3104162,"domain_scores_codex":[0.9982045,0.0001366265,0.0002375114,0.0003338295,0.0003304456,0.0007571094],"domain_scores_gemma":[0.9987764,0.0002333941,0.0001332953,0.0003652247,0.00005234361,0.000439387],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006721915,0.0003725293,0.0518944,0.0001127726,0.0001347731,0.000190459,0.1218519,0.00001199405,0.06736221,0.2987827,0.3178184,0.1414005],"study_design_scores_gemma":[0.000243617,0.0000413875,0.05263763,0.00004710539,0.0000328486,0.00001794585,0.001654445,0.0001178656,0.001672587,0.002488069,0.9406815,0.0003650188],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9288546,0.00007481188,0.00005717119,0.01602131,0.0007806396,0.0001902281,0.0003306266,0.00005471304,0.05363583],"genre_scores_gemma":[0.9858583,0.0003993355,0.0002562669,0.004149878,0.00151723,0.000008998861,0.000003601679,0.00002334048,0.007783098],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6228631,"threshold_uncertainty_score":0.8888764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009862224048793632,"score_gpt":0.292317598987469,"score_spread":0.2824553749386754,"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."}}