{"id":"W7053077758","doi":"","title":"Spoiled for Choice: A Thematic Analysis of the City of Calgary's Civic Facility Development Process","year":2017,"lang":"en","type":"other","venue":"eScholarship@McGill (McGill)","topic":"Electromagnetic Compatibility and Measurements","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Process (computing); Thematic analysis; Work (physics); Thematic map; Government (linguistics)","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":[0.006409986,0.0002668865,0.0003583295,0.009450162,0.01368937,0.00923645,0.002064755,0.0009689997,0.006251435],"category_scores_gemma":[0.01400613,0.0003446251,0.0003125955,0.02091067,0.008219398,0.0040385,0.008731304,0.002013986,0.0003102157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02944803,"about_ca_system_score_gemma":0.03344218,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5036656,"about_ca_topic_score_gemma":0.6656452,"domain_scores_codex":[0.9964587,0.001442872,0.0001618248,0.0003378642,0.0007724361,0.0008263213],"domain_scores_gemma":[0.9900974,0.005229401,0.001028204,0.0004441715,0.002133506,0.00106743],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003643539,0.00002370979,0.0286072,0.0001303799,0.00001026948,0.0002672062,0.9324872,0.00009115707,0.0001746274,0.01226082,0.007822644,0.01808844],"study_design_scores_gemma":[0.000001172453,0.00000331097,0.02930505,0.0001011691,0.000003200868,0.00001824625,0.9510595,0.00007274764,0.00005839926,0.000388148,0.01898371,0.000005328285],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9140118,0.0006866479,0.001892338,0.005475236,0.0001156391,0.0004504784,0.003221775,0.00004430156,0.07410188],"genre_scores_gemma":[0.9818503,0.0005363934,0.00235149,0.0004273994,0.00002013488,0.0002996432,0.00176062,0.0001156706,0.01263825],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4963344,"threshold_uncertainty_score":0.9985148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02734962126269879,"score_gpt":0.2461526359550376,"score_spread":0.2188030146923388,"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."}}