{"id":"W7097403635","doi":"","title":"www.pewhispanic.org Modes of Entry for the Unauthorized Migrant Population","year":2006,"lang":"en","type":"article","venue":"","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Population; Jurisdiction; Deportation; Border crossing; Point (geometry); Foreign national; Illegal 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003183651,0.0002730945,0.00008642305,0.0006966013,0.001668303,0.001679991,0.0003890388,0.0008244817,0.245837],"category_scores_gemma":[0.001071431,0.0001234725,0.0001096047,0.0006339895,0.000309646,0.0009201484,0.001271629,0.0005937424,0.06705918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005392447,"about_ca_system_score_gemma":0.002703609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01351469,"about_ca_topic_score_gemma":0.03579041,"domain_scores_codex":[0.9998397,0.00003349247,0.000005198382,0.00001673665,0.00004434946,0.00006049044],"domain_scores_gemma":[0.9994934,0.00006563787,0.00002871663,0.00005366908,0.0001095532,0.000249088],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00002792627,0.0001413764,0.01791907,0.00007962301,0.000003154958,0.0005144539,0.000834869,0.00005811117,0.0003627552,0.006118716,0.6794041,0.2945359],"study_design_scores_gemma":[0.00001127547,0.00005001977,0.016214,0.0001026717,0.000002742985,0.0005331826,0.002780544,0.0001508499,0.0002799153,0.001446702,0.9784194,0.000008728467],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03835581,0.001242494,0.001269229,0.02044668,0.001204052,0.0001878614,0.002706446,0.0003387943,0.9342486],"genre_scores_gemma":[0.08645957,0.002508907,0.001267839,0.003210079,0.0003775029,0.0001945937,0.001620266,0.0001701495,0.9041911],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.245837,"threshold_uncertainty_score":0.8224068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0217240514758132,"score_gpt":0.3075989120234831,"score_spread":0.2858748605476699,"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."}}