{"id":"W2613412163","doi":"","title":"Sponsoring a Refugee: Tips and Local Resources to Support Sponsors in Guelph-Wellington","year":2017,"lang":"en","type":"article","venue":"The Atrium (University of Guelph)","topic":"Tourism, Volunteerism, and Development","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Refugee; Political science; Media studies; Advertising; Public relations; Sociology; Business; 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":[0.002663285,0.0003900877,0.0002939689,0.0004166404,0.01579101,0.003298267,0.001430895,0.002125405,0.02706481],"category_scores_gemma":[0.003174188,0.0003718143,0.0001446489,0.0005873694,0.002989263,0.002031738,0.007984541,0.002482329,0.002082524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005529863,"about_ca_system_score_gemma":0.01783882,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2128885,"about_ca_topic_score_gemma":0.6858109,"domain_scores_codex":[0.9989783,0.0005278715,0.00001825886,0.0000489275,0.00006057572,0.0003661261],"domain_scores_gemma":[0.9936254,0.0003710851,0.0001986645,0.0000736092,0.0003745102,0.005356708],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003517082,0.0003298008,0.0261369,0.0009753706,0.00001962954,0.01259736,0.4165201,0.0001825977,0.003475922,0.007837906,0.3881894,0.1433833],"study_design_scores_gemma":[0.00003887545,0.0001464543,0.01122417,0.0007057961,0.000008802487,0.0005712581,0.6707578,0.00006220888,0.0001950219,0.0003914064,0.3158692,0.00002908101],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.6760955,0.01255313,0.001736579,0.1577307,0.003065725,0.001217836,0.0003698532,0.0002757437,0.1469549],"genre_scores_gemma":[0.8363519,0.007488834,0.004201775,0.009523378,0.000296409,0.00053847,0.0002516079,0.000121715,0.1412259],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7871115,"threshold_uncertainty_score":0.4232987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02311647990977815,"score_gpt":0.2594265970394253,"score_spread":0.2363101171296471,"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."}}