{"id":"W7134378885","doi":"","title":"Women impacted by forced migration & connecting to systems in Canada : a community collaboration and dialogue","year":2023,"lang":"en","type":"report","venue":"cIRcle (University of British Columbia)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Forced migration; Immigration; Work (physics); Government (linguistics); Refugee","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005312762,0.000553536,0.0007254895,0.002061595,0.06511459,0.01163115,0.003493105,0.0056846,0.01081984],"category_scores_gemma":[0.01048764,0.0006440259,0.0005053699,0.005637964,0.01157138,0.003498322,0.01197351,0.008419838,0.0004551319],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1409956,"about_ca_system_score_gemma":0.4083683,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9941716,"about_ca_topic_score_gemma":0.9976628,"domain_scores_codex":[0.9910592,0.001753666,0.0001494414,0.0002292788,0.001521016,0.005287322],"domain_scores_gemma":[0.9827042,0.003038071,0.0006642955,0.0002126894,0.004392902,0.008987745],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001668327,0.0002530951,0.05413031,0.0004606509,0.00005498334,0.00412081,0.7314042,0.0004641447,0.0003874297,0.01935017,0.1345618,0.05464546],"study_design_scores_gemma":[0.000008165241,0.00001920061,0.01475951,0.0002044201,0.0000127227,0.0001007132,0.9425059,0.00005158957,0.00006732169,0.0004728231,0.04177444,0.00002322268],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5862456,0.005505387,0.0003696535,0.289418,0.0009081052,0.0004929872,0.001216435,0.00005681528,0.1157871],"genre_scores_gemma":[0.9103866,0.007501844,0.0006671028,0.02369664,0.000130188,0.0003706143,0.0003126253,0.00006363296,0.05687058],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1409956,"threshold_uncertainty_score":0.9963234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02489508197102118,"score_gpt":0.2176465179441511,"score_spread":0.1927514359731299,"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."}}