{"id":"W3015940198","doi":"","title":"A Scan of Settlement Programs and Services in Western Canada: Integration of Newcomers in Prince George, British Columbia","year":2020,"lang":"en","type":"article","venue":"UVic’s Research and Learning Repository (University of Victoria)","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"George (robot); Settlement (finance); Archaeology; History; Geography; Ethnology; Computer science; Art history; Payment; World Wide Web","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":[0.0007877057,0.0002993762,0.000391745,0.00212189,0.01615814,0.004390093,0.001980013,0.001136315,0.011826],"category_scores_gemma":[0.001860996,0.0005467925,0.00032694,0.005688563,0.002358797,0.001480393,0.002916007,0.002367629,0.0006458646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09236673,"about_ca_system_score_gemma":0.1571304,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9985301,"about_ca_topic_score_gemma":0.9995433,"domain_scores_codex":[0.9985155,0.0001103169,0.00004339771,0.0001013051,0.0004856011,0.0007437761],"domain_scores_gemma":[0.9970294,0.0001707996,0.0001387475,0.00005153739,0.001440261,0.001169191],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002329001,0.0004008731,0.3215332,0.001509084,0.00009693953,0.007359793,0.2653619,0.00058108,0.001963355,0.01561662,0.1850653,0.200279],"study_design_scores_gemma":[0.0000184396,0.00005500628,0.4365155,0.001113348,0.00002998596,0.0006647282,0.4331434,0.0003125756,0.0002527785,0.0003658946,0.1274413,0.00008706815],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8621137,0.00815368,0.0003996147,0.03049386,0.0002549211,0.0004094367,0.00496678,0.0000885975,0.0931195],"genre_scores_gemma":[0.9196122,0.006885455,0.00114071,0.006081208,0.00003366989,0.0002276711,0.00197851,0.00007677339,0.06396382],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09236673,"threshold_uncertainty_score":0.6701707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01848525918768894,"score_gpt":0.2400696828945774,"score_spread":0.2215844237068884,"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."}}