{"id":"W4281987450","doi":"10.5281/zenodo.6586470","title":"Greatest Immigration Expert services To Immigrate Anywhere 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; 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":[0.0009333627,0.0004625524,0.0004184294,0.0008238723,0.007757034,0.004030994,0.0007840418,0.003100815,0.2200052],"category_scores_gemma":[0.005097849,0.0003995457,0.0004910644,0.0004181526,0.00111514,0.002982178,0.01005079,0.003811102,0.10512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009137479,"about_ca_system_score_gemma":0.005746251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006044442,"about_ca_topic_score_gemma":0.03299039,"domain_scores_codex":[0.9988247,0.0002642323,0.00003380035,0.00008419372,0.0002948846,0.0004981531],"domain_scores_gemma":[0.9941733,0.0001643952,0.0001561106,0.000172648,0.000715617,0.004617912],"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":[0.00001741398,0.00008666695,0.001489171,0.00008859672,0.000005961604,0.0006281469,0.002845209,0.00001936063,0.000554933,0.001578167,0.937737,0.05494936],"study_design_scores_gemma":[0.000009499211,0.00002882439,0.002821892,0.0002528398,0.000005673304,0.001622644,0.008579614,0.00002436201,0.0001504636,0.001003088,0.9854835,0.00001764934],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01962135,0.0038384,0.002110924,0.1564057,0.01039529,0.0002803106,0.0007993187,0.001618285,0.8049306],"genre_scores_gemma":[0.06097327,0.005179616,0.004814492,0.06796611,0.002870511,0.000251779,0.0007248042,0.0006667073,0.8565527],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7799947,"threshold_uncertainty_score":0.7359909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03347817345975122,"score_gpt":0.2323303156614427,"score_spread":0.1988521422016915,"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."}}