{"id":"W3210474868","doi":"10.32920/ryerson.14644749.v1","title":"Food insecurity among newcomer refugees in Canada","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Refugee; Food insecurity; Food security; Immigration; Settlement (finance); Business; Variety (cybernetics); Political science; Psychology; Economic growth; Geography; Economics","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":[0.00061033,0.0002633091,0.000513727,0.001730668,0.003821509,0.002177249,0.0005550989,0.0004886537,0.003715545],"category_scores_gemma":[0.001468763,0.0002158788,0.0005167321,0.003921059,0.001129589,0.0005372118,0.001599902,0.0009297339,0.0001656564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01654741,"about_ca_system_score_gemma":0.03913178,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9740917,"about_ca_topic_score_gemma":0.9877807,"domain_scores_codex":[0.999544,0.00002662608,0.00002642523,0.00004795369,0.0001368434,0.0002182263],"domain_scores_gemma":[0.9992149,0.00006061694,0.0001281848,0.00001405502,0.000268831,0.0003133744],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003374731,0.0002034257,0.7574769,0.002464625,0.0001987774,0.005158203,0.09617457,0.0001139164,0.0007962201,0.001426498,0.0174596,0.1181898],"study_design_scores_gemma":[0.00002158518,0.00006569688,0.8711048,0.001859581,0.00006298083,0.0008217537,0.1086823,0.00005279961,0.0000823967,0.0001315169,0.01706245,0.00005212275],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9519205,0.03117526,0.00005255931,0.004193234,0.0001573036,0.0001049988,0.002404231,0.00000780458,0.00998411],"genre_scores_gemma":[0.9499719,0.04445074,0.0001538572,0.0008341419,0.00003622983,0.00004294241,0.001242453,0.000007421923,0.003260388],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02590829,"threshold_uncertainty_score":0.1200604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1602343995547153,"score_gpt":0.4308056108815674,"score_spread":0.2705712113268521,"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."}}