{"id":"W6921186509","doi":"10.6084/m9.figshare.7775537.v1","title":"Additional file 3: of Barriers and recruitment strategies for precarious status migrants in Montreal, Canada","year":2019,"lang":"en","type":"article","venue":"Figshare","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Table (database); Immigration; Government (linguistics); Data collection","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":[0.001417674,0.001131728,0.0009337852,0.003735418,0.002951263,0.001857819,0.002132984,0.0006948466,0.7475992],"category_scores_gemma":[0.02171697,0.0005394529,0.0009625812,0.006782864,0.0004097903,0.001590956,0.001041845,0.0008199004,0.05510834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009526692,"about_ca_system_score_gemma":0.02124613,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8451814,"about_ca_topic_score_gemma":0.9109633,"domain_scores_codex":[0.9993978,0.00007508478,0.00006886698,0.00009430188,0.0001780764,0.0001859166],"domain_scores_gemma":[0.9883874,0.006073213,0.0004515443,0.0004257025,0.004209223,0.0004529892],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000856598,0.00004447279,0.007629687,0.00112218,0.00002321378,0.00004795008,0.0004938434,0.0003162268,0.00002977104,0.0004332392,0.9792123,0.01056139],"study_design_scores_gemma":[0.002345063,0.000136593,0.2663969,0.008790276,0.0002740099,0.0002917731,0.01547331,0.003604994,0.0006979671,0.004129494,0.6975181,0.0003415323],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.001228349,0.00003317415,0.0001684232,0.0001758719,0.0000262653,0.0002010086,0.994932,0.0001330388,0.003101891],"genre_scores_gemma":[0.05981175,0.0005466666,0.006486222,0.0005584721,0.00006528216,0.006163524,0.8856397,0.0005653694,0.04016318],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7475992,"threshold_uncertainty_score":0.360019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02942452858312872,"score_gpt":0.2724604896626572,"score_spread":0.2430359610795285,"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."}}