{"id":"W4394108376","doi":"10.6084/m9.figshare.6679442","title":"Additional file 1: of Caring for pregnant refugee women in a turbulent policy landscape: perspectives of health care professionals in Calgary, Alberta","year":2018,"lang":"en","type":"dataset","venue":"Figshare","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Refugee; Health professionals; Nursing; Health care; Medicine; Geography; Political science; Law","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":[0.003152551,0.001153386,0.001335613,0.004789527,0.00246382,0.002725198,0.003878717,0.001445888,0.2889809],"category_scores_gemma":[0.03180234,0.0009573454,0.001875728,0.01172569,0.0006368867,0.001518148,0.002433115,0.002227067,0.027758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008894613,"about_ca_system_score_gemma":0.02004924,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6193971,"about_ca_topic_score_gemma":0.7203048,"domain_scores_codex":[0.998585,0.0002974399,0.0002549613,0.0002462689,0.0003464787,0.0002698535],"domain_scores_gemma":[0.9802204,0.009789349,0.001459213,0.001360651,0.006216492,0.0009538673],"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":[0.00006964568,0.00003011613,0.005779212,0.001874422,0.00003760228,0.00002668352,0.0002847798,0.0002762529,0.00001047362,0.0006402323,0.9876857,0.003284852],"study_design_scores_gemma":[0.001748726,0.00005605286,0.1447264,0.01510374,0.0002610244,0.0001454403,0.00542797,0.0007594284,0.0001783825,0.004220731,0.8272126,0.0001595193],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002254709,0.00003841779,0.00004035741,0.0001078264,0.00001570636,0.00008333025,0.9988519,0.00001603379,0.0006209267],"genre_scores_gemma":[0.005942084,0.0004043882,0.001435003,0.000371091,0.00003368156,0.004789146,0.981155,0.0001056773,0.005763862],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3806029,"threshold_uncertainty_score":0.9667375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02873282545092008,"score_gpt":0.3577873729421291,"score_spread":0.329054547491209,"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."}}