{"id":"W3160093990","doi":"10.3389/fhumd.2021.625358","title":"Sustaining the Private Sponsorship of Resettled Refugees in Canada","year":2021,"lang":"en","type":"article","venue":"Frontiers in Human Dynamics","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; York University","funders":"","keywords":"Refugee; Context (archaeology); Public relations; Political science; Civil society; Government (linguistics); Injustice; Politics; Displaced person; Focus group; Economic growth; Business; Law; Geography; Marketing","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001181438,0.00007488161,0.0001636232,0.00009876694,0.0002080408,0.00003434574,0.0002549094,0.00006715495,0.00004705765],"category_scores_gemma":[0.0008077802,0.00006603588,0.00003070502,0.0004921625,0.0001387865,0.0001241589,0.0000263831,0.0002029691,1.979312e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001509803,"about_ca_system_score_gemma":0.001442472,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5572011,"about_ca_topic_score_gemma":0.9979902,"domain_scores_codex":[0.9983861,0.0005927042,0.0003166847,0.0001551022,0.000306367,0.0002430863],"domain_scores_gemma":[0.9994442,0.0001114405,0.0001097705,0.0001955187,0.0001059732,0.00003304186],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003815426,0.00003068759,0.6804368,0.00002389895,0.00001363653,0.0000226717,0.01730992,0.0007835469,0.00003419174,0.2963792,0.003767055,0.001160199],"study_design_scores_gemma":[0.001221735,0.00007004711,0.5362731,0.0003333276,0.00003230061,0.000001871008,0.2057645,0.05386102,0.0005516423,0.09310787,0.1080743,0.0007083549],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952287,0.0002252828,0.0006221325,0.0005510735,0.0004080191,0.0001502578,0.00001171006,0.000007735718,0.002795086],"genre_scores_gemma":[0.9971702,0.00007002291,0.0006534253,0.00006383391,0.00004866061,0.000008972045,0.00005372975,0.000007520842,0.001923632],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4407891,"threshold_uncertainty_score":0.4457475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009949503526712878,"score_gpt":0.2708014770253713,"score_spread":0.2608519734986585,"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."}}