{"id":"W21329930","doi":"10.3138/9781442667938-012","title":"7 Attracting Knowledge Workers and the Creative City Paradigm: Can We Plan for Talent in Montreal?","year":2014,"lang":"en","type":"book-chapter","venue":"University of Toronto Press eBooks","topic":"Cultural Industries and Urban Development","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Plan (archaeology); Business; Management; Public relations; Knowledge management; Political science; History; Computer science; Economics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001122106,0.00042133,0.0001737776,0.0009297871,0.008531039,0.008577717,0.001802729,0.001783678,0.01721304],"category_scores_gemma":[0.00100915,0.0002144888,0.0003549138,0.002077778,0.006520244,0.002860504,0.002412145,0.001619418,0.001349894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03110336,"about_ca_system_score_gemma":0.03021712,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6195343,"about_ca_topic_score_gemma":0.808045,"domain_scores_codex":[0.9993467,0.0001368909,0.000008020511,0.00005546321,0.000200149,0.0002528136],"domain_scores_gemma":[0.9994248,0.00009033665,0.00002967908,0.00002600128,0.0001138989,0.0003153264],"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":[0.0000366116,0.00009682887,0.00505282,0.0003733486,0.000009017464,0.0007383736,0.0430571,0.0008685823,0.000767219,0.6133958,0.176988,0.1586163],"study_design_scores_gemma":[0.00001922735,0.00004421006,0.006878888,0.0003129224,0.0000101404,0.0002123745,0.03224353,0.0008002779,0.0004358149,0.02338698,0.9356096,0.0000459904],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0573112,0.01568815,0.004085789,0.09674009,0.001642446,0.0001840093,0.0001551297,0.0002251446,0.823968],"genre_scores_gemma":[0.5273433,0.01447952,0.005894016,0.006256696,0.0005746644,0.0001252584,0.0001433492,0.0001213704,0.445062],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3804657,"threshold_uncertainty_score":0.7654127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06349058034840004,"score_gpt":0.2541954290751384,"score_spread":0.1907048487267383,"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."}}