{"id":"W4281839999","doi":"10.5281/zenodo.6586488","title":"Best Immigration Services To Immigrate Wherever Lawfully","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001557622,0.0005468159,0.0003825327,0.001062263,0.008639358,0.004895316,0.00116178,0.003874458,0.2126068],"category_scores_gemma":[0.009017433,0.0004903002,0.0006193075,0.0006554417,0.001590393,0.003150142,0.008365891,0.00416031,0.1226037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001470869,"about_ca_system_score_gemma":0.009918547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01083332,"about_ca_topic_score_gemma":0.04112957,"domain_scores_codex":[0.9980386,0.0006044401,0.00005578188,0.0001060346,0.0004767695,0.0007184153],"domain_scores_gemma":[0.9952422,0.0002558516,0.0001861287,0.0003286008,0.0007450213,0.00324208],"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":[0.00001269624,0.0001031375,0.001095751,0.00008469652,0.000004212788,0.0003244289,0.002166645,0.0000181563,0.0002120041,0.002914354,0.923012,0.07005195],"study_design_scores_gemma":[0.00001545418,0.00002921519,0.002368623,0.0003366294,0.000004761568,0.0008303009,0.007797096,0.00002187126,0.0001310112,0.00151251,0.9869406,0.00001212885],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01148562,0.005385363,0.001543917,0.2211619,0.009738997,0.0003004631,0.0007455244,0.001221254,0.748417],"genre_scores_gemma":[0.05847403,0.00928687,0.005606159,0.0742256,0.002659774,0.0003829316,0.001167869,0.0007388451,0.8474579],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7873932,"threshold_uncertainty_score":0.7112405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03271507452232882,"score_gpt":0.2290753568634658,"score_spread":0.196360282341137,"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."}}