{"id":"W4281614647","doi":"10.5281/zenodo.6586492","title":"Very best Immigration Solutions To Immigrate Anyplace 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; Computer science; 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":[0.002550883,0.0006175475,0.000368919,0.0009332147,0.01073438,0.007083606,0.00135877,0.004221549,0.1172451],"category_scores_gemma":[0.01037229,0.0003471927,0.0006939222,0.000513149,0.002632262,0.00703243,0.01286484,0.006463633,0.05593556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001240355,"about_ca_system_score_gemma":0.005317315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002412026,"about_ca_topic_score_gemma":0.009391951,"domain_scores_codex":[0.9971384,0.001064529,0.00009802963,0.0001353943,0.0008667039,0.0006970125],"domain_scores_gemma":[0.9956313,0.0003024819,0.0001954355,0.0003024543,0.0007927186,0.002775529],"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":[0.0000181,0.0001499961,0.0006437927,0.000141972,0.000006284939,0.0006087804,0.01078121,0.00004141349,0.0005967297,0.02064207,0.8662022,0.1001674],"study_design_scores_gemma":[0.000008623713,0.00002907291,0.0005093961,0.000236471,0.000003672257,0.0005655073,0.01435357,0.00003174601,0.0001436674,0.003382449,0.9807226,0.00001325452],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01515583,0.004100762,0.005766909,0.3304754,0.01617165,0.0003237923,0.0002156746,0.001346736,0.6264433],"genre_scores_gemma":[0.06395721,0.006023845,0.01376045,0.08629119,0.00313447,0.0003682157,0.0003773263,0.0008719583,0.8252153],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1172451,"threshold_uncertainty_score":0.3922238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.052883178013676,"score_gpt":0.2364509277402013,"score_spread":0.1835677497265253,"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."}}