{"id":"W6901770851","doi":"10.6084/m9.figshare.10022246.v1","title":"MOESM1 of The governmental health policy-development process for Syrian refugees: an embedded qualitative case studies in Lebanon and Ontario","year":2019,"lang":"en","type":"article","venue":"Figshare","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Process (computing); Government (linguistics); Data collection; Qualitative research; Public policy; Sampling (signal processing)","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":[],"consensus_categories":[],"category_scores_codex":[0.007615197,0.0002135261,0.0002947325,0.001420739,0.01006197,0.002984366,0.001287272,0.0009111983,0.0871092],"category_scores_gemma":[0.01769059,0.0002554223,0.0002839665,0.003670826,0.002049591,0.00164279,0.002956951,0.0009145274,0.002762664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03671888,"about_ca_system_score_gemma":0.04386047,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4853273,"about_ca_topic_score_gemma":0.7500075,"domain_scores_codex":[0.9976646,0.001440381,0.0001042769,0.0001410088,0.0002909249,0.0003588622],"domain_scores_gemma":[0.9867951,0.008973897,0.0003997791,0.0005039711,0.001906926,0.001420361],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001856009,0.0002085755,0.01519187,0.001274649,0.00001135703,0.001666887,0.6460672,0.0003595221,0.0004759361,0.0271183,0.2452695,0.06217054],"study_design_scores_gemma":[0.00005499953,0.0000507471,0.01797029,0.00108199,0.00001124349,0.00009556104,0.6220193,0.0003182299,0.0002586148,0.002006751,0.3561001,0.0000322953],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5033402,0.0009973735,0.007764298,0.02849127,0.0004846251,0.01479322,0.09643623,0.0004200928,0.3472727],"genre_scores_gemma":[0.7534724,0.00134454,0.02149113,0.002113322,0.00006894174,0.01960392,0.009880711,0.00028466,0.1917403],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5146728,"threshold_uncertainty_score":0.9650047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.144526224879025,"score_gpt":0.4897554831120194,"score_spread":0.3452292582329944,"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."}}