{"id":"W6981331882","doi":"","title":"Edmonton man helping Ukrainian refugees settle into Canada","year":2022,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Team Dynamics and Performance","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Refugee; Ukrainian; Asylum seeker; Government (linguistics)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002465925,0.0004334412,0.0001934366,0.0005963919,0.01200074,0.001664824,0.0006947807,0.001335647,0.1482753],"category_scores_gemma":[0.0007075749,0.0002906733,0.0001562419,0.0006027576,0.0007066019,0.0006460019,0.001811106,0.001305475,0.01741205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006169305,"about_ca_system_score_gemma":0.01594705,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8113519,"about_ca_topic_score_gemma":0.9712029,"domain_scores_codex":[0.9996599,0.0000266215,0.000004308018,0.00002088561,0.00005100934,0.0002372742],"domain_scores_gemma":[0.9991969,0.00003426654,0.00001427029,0.00001140166,0.0001921408,0.0005509641],"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":[0.00007702462,0.00008732529,0.004993245,0.00008708403,0.000006361613,0.001029655,0.004090513,0.0001015818,0.0003708141,0.002458618,0.9140257,0.0726722],"study_design_scores_gemma":[0.000007789721,0.0000303118,0.006906324,0.00009545562,0.000003306788,0.0001542423,0.01563345,0.00003722322,0.0001143721,0.00009399688,0.9769155,0.000008162086],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.05339726,0.005385865,0.0001344799,0.02891086,0.003918707,0.0001730126,0.001404743,0.0002180454,0.9064571],"genre_scores_gemma":[0.02466429,0.001532371,0.00009603221,0.001636375,0.00004386436,0.00001469111,0.0001429613,0.00003787956,0.9718314],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8517247,"threshold_uncertainty_score":0.4960302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004519931354150176,"score_gpt":0.2055778985571456,"score_spread":0.2010579672029954,"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."}}