{"id":"W6992762646","doi":"","title":"Mapping Regina (and Saskatchewan and the people)","year":2011,"lang":"en","type":"article","venue":"Arca (British Columbia Electronic Library Network)","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Variety (cybernetics); Citizen journalism; Process (computing); Field (mathematics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007428925,0.0004777331,0.0002607335,0.001347577,0.005192589,0.00309993,0.0009984039,0.0004940689,0.01089798],"category_scores_gemma":[0.001377532,0.0003772563,0.000352211,0.004247404,0.001387147,0.0009916684,0.002591949,0.0007819143,0.001556768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01819885,"about_ca_system_score_gemma":0.05135743,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9770225,"about_ca_topic_score_gemma":0.9963582,"domain_scores_codex":[0.9994811,0.0001069274,0.0000151609,0.0001168139,0.0001152632,0.0001647457],"domain_scores_gemma":[0.9992035,0.0001084261,0.000058145,0.0001297143,0.0003767296,0.0001235069],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006427735,0.0001446175,0.1444395,0.0005985999,0.000229844,0.002657992,0.04254396,0.003274133,0.009099578,0.04883007,0.1242683,0.6232706],"study_design_scores_gemma":[0.00004297613,0.00005625499,0.3004608,0.0004641997,0.00007332829,0.000713126,0.07107714,0.001004426,0.002045711,0.004149407,0.6197387,0.0001738919],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4828352,0.005101682,0.006556289,0.008182643,0.0002304825,0.000600845,0.009891049,0.0006492305,0.4859525],"genre_scores_gemma":[0.7699155,0.004390516,0.01877381,0.001661562,0.00002092035,0.0004316155,0.004075971,0.0002361646,0.200494],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02297747,"threshold_uncertainty_score":0.1320425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007427423471693582,"score_gpt":0.1753393892744048,"score_spread":0.1679119658027112,"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."}}