{"id":"W4281652799","doi":"10.5281/zenodo.6586340","title":"Finest Immigration Products and services 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; Business; Geography; Archaeology","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":[0.001420363,0.0004323804,0.0003183341,0.001031044,0.007828201,0.005318109,0.0007847475,0.002841461,0.2585233],"category_scores_gemma":[0.008666001,0.0003695069,0.0004793587,0.0005667136,0.001439366,0.003620082,0.006787125,0.003806078,0.141178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009309545,"about_ca_system_score_gemma":0.00399239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01175096,"about_ca_topic_score_gemma":0.03896255,"domain_scores_codex":[0.9985577,0.0002544375,0.00004498749,0.00008137702,0.0006265531,0.0004349424],"domain_scores_gemma":[0.9967158,0.0002606335,0.0001697538,0.0003488064,0.0008032168,0.001701808],"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":[0.00002853507,0.0002002603,0.001480486,0.00008853027,0.000005016231,0.0004063512,0.003386228,0.00003202915,0.0009451112,0.01292872,0.8724482,0.1080504],"study_design_scores_gemma":[0.000006419352,0.00002042441,0.001545137,0.00009517479,0.000002294998,0.0003054322,0.003239562,0.00002547453,0.0001685692,0.0010229,0.9935595,0.000008960644],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01505433,0.001223996,0.002206161,0.06645822,0.005201614,0.0003376556,0.0005118756,0.0009586351,0.9080476],"genre_scores_gemma":[0.02320107,0.001093862,0.002493024,0.014134,0.0006324509,0.000104316,0.0003235152,0.0004483717,0.9575693],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7414767,"threshold_uncertainty_score":0.8648466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02601834920335407,"score_gpt":0.2149227472072988,"score_spread":0.1889043980039447,"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."}}