{"id":"W4281654138","doi":"10.5281/zenodo.6586651","title":"Ideal Immigration Solutions 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":"Ideal (ethics); 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005587877,0.0006231356,0.0002686245,0.0007645921,0.01771487,0.01092368,0.001597838,0.006249312,0.03961486],"category_scores_gemma":[0.009693643,0.0003488754,0.0004217281,0.0005561459,0.008509311,0.01265181,0.01544708,0.007935403,0.01532756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002744954,"about_ca_system_score_gemma":0.01099321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002508768,"about_ca_topic_score_gemma":0.006868619,"domain_scores_codex":[0.9953398,0.002494102,0.0001486189,0.0002844635,0.0007498969,0.0009830706],"domain_scores_gemma":[0.9956293,0.0003877176,0.000287013,0.0002408721,0.0007023987,0.002752709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004810318,0.0001681132,0.0009065932,0.0001531918,0.000007263332,0.0008540967,0.06197261,0.0002234371,0.0007252666,0.6211151,0.2644212,0.04940504],"study_design_scores_gemma":[0.00002274345,0.00003494282,0.0003400401,0.000386274,0.00000571275,0.0007095213,0.0887863,0.0002737708,0.0002815323,0.08988831,0.8192451,0.00002571891],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02944097,0.002085723,0.0167606,0.3799112,0.00587634,0.0001881755,0.00009761896,0.0003907862,0.5652485],"genre_scores_gemma":[0.4103128,0.00455307,0.04550782,0.07403421,0.001788213,0.0006566942,0.0003319381,0.0004995895,0.4623157],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9603851,"threshold_uncertainty_score":0.1325249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04939728401000278,"score_gpt":0.2356960005263237,"score_spread":0.1862987165163209,"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."}}