{"id":"W6892584184","doi":"10.5281/zenodo.10782560","title":"Comparing national laws and policies addressing irregular migrants","year":2024,"lang":"en","type":"report","venue":"Research Publications (Maastricht University)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"European Commission; UK Research and Innovation","keywords":"Irregular migration; Key (lock); Public policy; Channel (broadcasting); Policy analysis; National Policy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004713528,0.0001107511,0.000198191,0.001901211,0.001195021,0.002038726,0.0005584403,0.0005253795,0.003497937],"category_scores_gemma":[0.0166414,0.0001609977,0.0001936484,0.003147576,0.001324588,0.00151278,0.002318483,0.000716655,0.0003256823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003116349,"about_ca_system_score_gemma":0.007254212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04846102,"about_ca_topic_score_gemma":0.06513347,"domain_scores_codex":[0.9971934,0.0009573999,0.0002780146,0.0002452058,0.0005516714,0.000774234],"domain_scores_gemma":[0.9904327,0.003525893,0.00308633,0.0006605242,0.001586747,0.0007079372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003243788,0.0002308427,0.5341322,0.001608482,0.000105581,0.0008152566,0.05631106,0.004575799,0.0009311198,0.164713,0.0233379,0.2129143],"study_design_scores_gemma":[0.00003034092,0.0001378763,0.7414402,0.001552822,0.0000615388,0.0002750474,0.06198427,0.0009486007,0.0006509622,0.004300393,0.1885803,0.00003774092],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.8832868,0.003490082,0.001244114,0.005685843,0.0001286774,0.0001561165,0.001681639,0.00005249586,0.1042742],"genre_scores_gemma":[0.9819909,0.002856913,0.001245815,0.001119415,0.00003206553,0.0001896349,0.001240561,0.00002989617,0.01129471],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.04846102,"threshold_uncertainty_score":0.09635788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4318103592571306,"score_gpt":0.440052311567422,"score_spread":0.0082419523102914,"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."}}