{"id":"W2759084135","doi":"10.1080/02697459.2017.1378975","title":"Embedding Artists within Planning: Calgary’s Watershed+ Initiative","year":2017,"lang":"en","type":"article","venue":"Planning Practice and Research","topic":"Art, Politics, and Modernism","field":"Arts and Humanities","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Watershed; Transferability; Public art; Public participation; Embedding; Public relations; Sociology; Environmental planning; Political science; Visual arts; Geography; Art; Computer science","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":[0.007027423,0.0004740999,0.000332668,0.000707732,0.02765578,0.01204406,0.002825869,0.002335471,0.01218389],"category_scores_gemma":[0.003370318,0.0006677642,0.0002467292,0.001944724,0.02495572,0.002701514,0.01782989,0.006682271,0.0006715702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02832795,"about_ca_system_score_gemma":0.03969577,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1922595,"about_ca_topic_score_gemma":0.5819311,"domain_scores_codex":[0.9948384,0.002873135,0.00006253303,0.0004430278,0.0006197008,0.00116331],"domain_scores_gemma":[0.9958085,0.00160628,0.000152536,0.0003677239,0.0001902052,0.00187476],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008655085,0.0004221977,0.004108096,0.0002115226,0.00001797377,0.003158805,0.5956257,0.001697534,0.00151055,0.1294478,0.09390184,0.1698114],"study_design_scores_gemma":[0.0000410014,0.0001058548,0.005544042,0.000196824,0.000008363404,0.0002344807,0.3343917,0.000350432,0.0004379301,0.009044399,0.6496173,0.00002758375],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3815227,0.003430063,0.009080908,0.06024631,0.0007079274,0.0004447787,0.0001619797,0.0003081433,0.5440973],"genre_scores_gemma":[0.8695695,0.002806355,0.01354069,0.005986355,0.0001471742,0.00029477,0.0001900751,0.0002845922,0.1071804],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8077405,"threshold_uncertainty_score":0.3822808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3526686194107975,"score_gpt":0.4715477421768457,"score_spread":0.1188791227660482,"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."}}