{"id":"W4281635335","doi":"10.5281/zenodo.6586569","title":"Ideal Immigration Companies To Immigrate Wherever 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":"Ideal (ethics); Immigration; Business; Law; Political science","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":[0.003911744,0.0003600341,0.0002190388,0.0005389834,0.01560618,0.01179256,0.00094917,0.007694697,0.05442159],"category_scores_gemma":[0.009475937,0.0004139876,0.0003649717,0.0003770557,0.005329717,0.008341436,0.008224293,0.008444445,0.02735591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001752208,"about_ca_system_score_gemma":0.01043426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005913179,"about_ca_topic_score_gemma":0.01572524,"domain_scores_codex":[0.9955773,0.001327596,0.00009176936,0.0002837613,0.001067172,0.00165241],"domain_scores_gemma":[0.9944462,0.0003454558,0.000290006,0.0003250628,0.0009600241,0.003633349],"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":[0.00003669083,0.000273978,0.002248847,0.00006485171,0.000007176564,0.001162288,0.01748738,0.000110318,0.001193361,0.3543026,0.5884147,0.03469785],"study_design_scores_gemma":[0.00001873267,0.00002441975,0.0007317996,0.0001613852,0.000003472247,0.0007946463,0.02070505,0.0001150099,0.0002684719,0.02187923,0.9552746,0.00002325713],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02207954,0.001163238,0.005472987,0.3342549,0.004256947,0.0001368022,0.00007812469,0.000321019,0.6322364],"genre_scores_gemma":[0.1969859,0.001622678,0.008289313,0.1615,0.001127871,0.0002679013,0.0001807564,0.0002937907,0.629732],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05442159,"threshold_uncertainty_score":0.1820583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04114514710395175,"score_gpt":0.2356578551149481,"score_spread":0.1945127080109963,"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."}}