{"id":"W2854466017","doi":"10.3138/9781442667938-007","title":"2 Attracting and Retaining Talent in Canadian Cities: Towards a Holistic View?","year":2014,"lang":"en","type":"book-chapter","venue":"University of Toronto Press eBooks","topic":"Hungarian Social, Economic and Educational Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Economic geography; Business; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003790708,0.0001220254,0.0002990066,0.00002995452,0.0004868522,0.0000233388,0.0001880215,0.000197895,0.0003419476],"category_scores_gemma":[0.00005648416,0.0001710175,0.00006083923,7.951063e-7,0.000455242,0.00006522399,0.00006673788,0.000127096,0.000002725334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001309593,"about_ca_system_score_gemma":0.0007766716,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9881449,"about_ca_topic_score_gemma":0.9893587,"domain_scores_codex":[0.9992467,0.00004406426,0.0001338666,0.0002062495,0.0001203131,0.0002488369],"domain_scores_gemma":[0.9993763,0.0001075983,0.0001713267,0.00008997951,0.00006807819,0.0001867356],"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":[0.00001369884,0.000003525541,0.000638552,0.00007005071,0.0001116913,0.00001053599,0.2266308,0.000001520908,1.874285e-7,0.7411464,0.002598514,0.02877452],"study_design_scores_gemma":[0.0001121425,0.00001016203,0.001077699,0.0001353865,0.00003922971,2.424606e-7,0.008575811,0.000002789259,1.097951e-7,0.0009665451,0.9889153,0.0001646469],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007504675,0.001492615,0.000005075209,0.0001296828,0.0001737453,0.0001646427,0.00004243507,0.00001153857,0.9972298],"genre_scores_gemma":[0.1621874,0.001392495,0.00008870907,0.00005352342,0.0002439595,4.769814e-7,0.000006521545,0.00001214833,0.8360148],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9863167,"threshold_uncertainty_score":0.697389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06693698829364642,"score_gpt":0.2699490918358334,"score_spread":0.203012103542187,"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."}}