{"id":"W6958868025","doi":"10.6084/m9.figshare.7775510.v1","title":"Additional file 1: of Barriers and recruitment strategies for precarious status migrants in Montreal, Canada","year":2019,"lang":"en","type":"article","venue":"Figshare","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Table (database); Immigration; Government (linguistics); Race (biology)","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":[0.001337567,0.001167854,0.001140965,0.004456788,0.002961553,0.001927917,0.002347977,0.0007102662,0.7126929],"category_scores_gemma":[0.02347954,0.0006376368,0.001011781,0.008198702,0.0004818798,0.001664174,0.001179089,0.0008576567,0.05640352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01065777,"about_ca_system_score_gemma":0.02284592,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8705423,"about_ca_topic_score_gemma":0.9183597,"domain_scores_codex":[0.9993879,0.00006928989,0.00008333045,0.00009948137,0.0001761824,0.0001839013],"domain_scores_gemma":[0.9869745,0.00603464,0.0005753125,0.000444445,0.005460647,0.0005103776],"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":[0.00008473926,0.00004580404,0.008565258,0.001182293,0.00002373137,0.00003879294,0.0003922613,0.0002176462,0.00002566205,0.0003421739,0.9790009,0.01008077],"study_design_scores_gemma":[0.002221565,0.0001626985,0.3483542,0.009701039,0.0002938014,0.0004075739,0.01176198,0.002514011,0.0006881225,0.00370942,0.6197901,0.0003954386],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.001292381,0.00004249428,0.0001300816,0.0001607598,0.00002787045,0.0001972156,0.9954975,0.0001167584,0.002535009],"genre_scores_gemma":[0.04871295,0.0006829754,0.004897058,0.0005372986,0.00006762253,0.005878253,0.904762,0.0004871532,0.03397466],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7126929,"threshold_uncertainty_score":0.4098086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02644714253343266,"score_gpt":0.259483846910443,"score_spread":0.2330367043770103,"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."}}