{"id":"W4225819617","doi":"10.5281/zenodo.6504772","title":"Best Immigration Services To Immigrate Anywhere Legally","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Business; Political science; Law","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":[0.001681879,0.0004357479,0.0004473308,0.001107903,0.00865314,0.004434037,0.001173168,0.004314571,0.233357],"category_scores_gemma":[0.009779673,0.0003939371,0.000671045,0.0006993288,0.001394559,0.003644177,0.00855583,0.003897066,0.123351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001381419,"about_ca_system_score_gemma":0.01092827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01269357,"about_ca_topic_score_gemma":0.05247729,"domain_scores_codex":[0.99787,0.0006220802,0.00007841922,0.00008337219,0.0006919425,0.0006541772],"domain_scores_gemma":[0.9945023,0.0002772609,0.0002262338,0.000293085,0.001058305,0.003642874],"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":[0.00000821507,0.00006089213,0.0004991472,0.00005567547,0.000003362323,0.0002962221,0.001155223,0.00001841576,0.0001193026,0.002615787,0.9393728,0.05579498],"study_design_scores_gemma":[0.00000967503,0.00001818299,0.001085547,0.0003118927,0.000003856551,0.0006609422,0.004367708,0.00002372817,0.00007226928,0.001912014,0.9915218,0.00001231805],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006162213,0.005411163,0.001772386,0.2443067,0.009308689,0.0001826401,0.0006795765,0.001132165,0.7310444],"genre_scores_gemma":[0.03740091,0.01116929,0.006498138,0.07777835,0.003430642,0.000346543,0.001143348,0.0008445063,0.8613883],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.233357,"threshold_uncertainty_score":0.780657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03245325280741949,"score_gpt":0.2301290677708673,"score_spread":0.1976758149634478,"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."}}