{"id":"W4402287671","doi":"10.55016/ojs/sppp.v10i1.42622","title":"The Context and Challenges for Canada’s Mid-Sized Cities","year":2017,"lang":"en","type":"article","venue":"The School of Public Policy Publications","topic":"Research in Social Sciences","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Context (archaeology); Regional science; Economic geography; Political science; Geography; Sociology; Archaeology","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":[0.002730773,0.0006463567,0.0007098223,0.00201311,0.04097353,0.01505358,0.004577924,0.003448222,0.01060932],"category_scores_gemma":[0.00522751,0.0006575346,0.0009933823,0.004238235,0.008685542,0.002833327,0.007068957,0.006978469,0.0006427602],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.2543746,"about_ca_system_score_gemma":0.4142024,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9986884,"about_ca_topic_score_gemma":0.999483,"domain_scores_codex":[0.9931822,0.0004817692,0.000155251,0.0004834771,0.001401018,0.004296336],"domain_scores_gemma":[0.9872413,0.0006203445,0.0003768471,0.0002197649,0.003562314,0.007979441],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002808044,0.0002138334,0.06168692,0.0008103522,0.0001533483,0.005122428,0.04630256,0.002771895,0.00135019,0.3985663,0.3982849,0.08445635],"study_design_scores_gemma":[0.00005811635,0.00005491887,0.09812087,0.0008522212,0.00009011749,0.0007988404,0.1071662,0.001862542,0.0003109082,0.01950309,0.7708954,0.0002868219],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.249406,0.01540296,0.002184669,0.5048993,0.002150907,0.000333912,0.005111093,0.0002982292,0.220213],"genre_scores_gemma":[0.8829582,0.006746238,0.003609078,0.04854915,0.0002656199,0.0001384233,0.001281485,0.0001395689,0.05631215],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2543746,"threshold_uncertainty_score":0.8648198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1808020118134011,"score_gpt":0.422226916608922,"score_spread":0.241424904795521,"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."}}