{"id":"W6992074258","doi":"","title":"Issue 11: Scaling Canadaâs Local Immigration Partnerships (LIPs) Model for Proactive Refugee Resettlement","year":2017,"lang":"en","type":"article","venue":"Scholars Commons (Wilfrid Laurier University)","topic":"Sports Performance and Training","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Refugee; General partnership; Immigration; Scale (ratio); Local community","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":[0.02851275,0.0009472833,0.0006911986,0.001531739,0.01896629,0.01700474,0.00982837,0.02574561,0.0276203],"category_scores_gemma":[0.05605226,0.0007762308,0.002062561,0.00198903,0.00934801,0.01100692,0.01094501,0.02213525,0.003182223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0549512,"about_ca_system_score_gemma":0.3494395,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7395615,"about_ca_topic_score_gemma":0.8621747,"domain_scores_codex":[0.9694923,0.004843854,0.00129461,0.001855331,0.01348772,0.009026072],"domain_scores_gemma":[0.9199141,0.01308877,0.00233679,0.002867009,0.02505464,0.03673869],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0000271273,0.0001475941,0.002865668,0.0004964118,0.00002790526,0.0003908713,0.001867384,0.0003887564,0.0002540223,0.1049479,0.8527919,0.03579434],"study_design_scores_gemma":[0.00003480636,0.00003565686,0.002384891,0.0009494886,0.00002008127,0.0001204965,0.003774833,0.0004018067,0.0001268808,0.005439288,0.9866457,0.00006604514],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.002473624,0.003417458,0.002500731,0.9356031,0.01668841,0.0005967037,0.0005658519,0.0002365456,0.0379176],"genre_scores_gemma":[0.05880646,0.008876993,0.02076992,0.8081051,0.005654978,0.001600538,0.001202733,0.0003842494,0.09459905],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2604385,"threshold_uncertainty_score":0.5239445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05777335460819281,"score_gpt":0.2912133219667791,"score_spread":0.2334399673585863,"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."}}