{"id":"W6977466505","doi":"10.6084/m9.figshare.7775525","title":"Additional file 2: of Barriers and recruitment strategies for precarious status migrants in Montreal, Canada","year":2019,"lang":"en","type":"article","venue":"Figshare","topic":"Urban, Neighborhood, and Segregation Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Relevance (law); Table (database); Immigration; Key (lock); Government (linguistics)","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":["insufficient_payload"],"category_scores_codex":[0.001406044,0.001066653,0.0009218248,0.004208012,0.002979318,0.001820281,0.002392366,0.0006350242,0.643411],"category_scores_gemma":[0.01809709,0.0005487911,0.001011849,0.007343452,0.0003713676,0.001303934,0.001099934,0.0007691408,0.03932258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01004777,"about_ca_system_score_gemma":0.02025784,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8911127,"about_ca_topic_score_gemma":0.9362666,"domain_scores_codex":[0.9993607,0.00007376472,0.00006858627,0.0001104091,0.000179727,0.0002067489],"domain_scores_gemma":[0.9906006,0.003949324,0.0004331669,0.0004138408,0.004136887,0.0004661758],"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":[0.0000851,0.00003706369,0.01271579,0.0009567973,0.00002942153,0.00004252957,0.0005148916,0.0003535037,0.0000373112,0.0004865103,0.9743087,0.01043243],"study_design_scores_gemma":[0.001630713,0.0001200066,0.3712554,0.005975362,0.0002929549,0.0002569128,0.01312849,0.003595455,0.0007336001,0.003258008,0.5994264,0.0003266656],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.00138836,0.00002781597,0.0001590032,0.0001219948,0.00001798263,0.0001505268,0.9957296,0.0001229156,0.002281629],"genre_scores_gemma":[0.05735727,0.0003948353,0.006380817,0.0003332192,0.00004344685,0.004320621,0.8974035,0.0005311058,0.03323505],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.356589,"threshold_uncertainty_score":0.5086309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04752018535529284,"score_gpt":0.277039249454817,"score_spread":0.2295190640995242,"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."}}