{"id":"W7161618687","doi":"","title":"Metropolis British Columbia Working Paper Series. Number 10-12","year":2010,"lang":"en","type":"report","venue":"cIRcle (University of British Columbia)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada; Agriculture and Agri-Food Canada; Atlantic Canada Opportunities Agency; U.S. Department of Justice; Public Health Agency; Australian Government; Public Health Agency of Canada","keywords":"Salient; Government (linguistics); Settlement (finance); Refugee; Snapshot (computer storage); Human settlement","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001323249,0.0008865453,0.0006455898,0.004003081,0.004343308,0.004562279,0.001911864,0.001232926,0.1219019],"category_scores_gemma":[0.004031134,0.0007338736,0.0003196759,0.01133577,0.0004489211,0.001382248,0.0008837958,0.001301691,0.03747009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03406226,"about_ca_system_score_gemma":0.07605211,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9792714,"about_ca_topic_score_gemma":0.9890454,"domain_scores_codex":[0.9986683,0.00008476402,0.00008129945,0.000129934,0.0007066158,0.0003290814],"domain_scores_gemma":[0.9939108,0.000329066,0.000137741,0.0002792525,0.004706927,0.0006362856],"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":[0.00003049653,0.000037756,0.004460556,0.0001319741,0.000006892029,0.00004299917,0.0001540654,0.00008572579,0.00006842064,0.001683612,0.9757682,0.01752938],"study_design_scores_gemma":[0.00002064421,0.00001122064,0.07397541,0.0002946608,0.00001564947,0.00003206231,0.001183515,0.0001988786,0.0003078991,0.0003276743,0.9236014,0.00003098152],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.008620828,0.004152335,0.0003543322,0.00787897,0.0009897378,0.0004908637,0.5839549,0.0004620075,0.3930961],"genre_scores_gemma":[0.02131269,0.004040275,0.0008581016,0.0006222123,0.00008455908,0.0004607943,0.1561469,0.0002575643,0.8162169],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9792714,"threshold_uncertainty_score":0.4078025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01615016633756163,"score_gpt":0.205514251577277,"score_spread":0.1893640852397154,"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."}}