{"id":"W2080101761","doi":"10.1068/b3048","title":"Analyzing Planning and Design Discourses","year":2004,"lang":"en","type":"article","venue":"Environment and Planning B Planning and Design","topic":"Urban Planning and Governance","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Representation (politics); Argument (complex analysis); Discourse analysis; Sociology; Epistemology; Table (database); Power (physics); Order (exchange); Critical discourse analysis; Computer science; Linguistics; Political science; Politics; Data mining; Philosophy; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.03415604,0.0009073094,0.0007626594,0.01126957,0.005940838,0.01228044,0.001561207,0.002194979,0.005334565],"category_scores_gemma":[0.07645063,0.0006869183,0.0006347186,0.01406096,0.01320574,0.01098158,0.005616563,0.00254549,0.0005186442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0119639,"about_ca_system_score_gemma":0.006789411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005244359,"about_ca_topic_score_gemma":0.004484612,"domain_scores_codex":[0.9529608,0.03644915,0.001705353,0.002959031,0.004963223,0.0009623313],"domain_scores_gemma":[0.9063679,0.08004367,0.003521853,0.004651046,0.004675378,0.0007401633],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001008334,0.00006619843,0.003344864,0.0009122451,0.00002947073,0.0005340687,0.5788994,0.001855891,0.002357413,0.3169007,0.003977173,0.09102175],"study_design_scores_gemma":[0.00005020184,0.0000927303,0.00467131,0.001338409,0.0000442501,0.0003967346,0.4476557,0.01071058,0.005423333,0.250717,0.278803,0.00009664715],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3891883,0.005744649,0.4108101,0.0161099,0.0004764722,0.002572475,0.00242543,0.0006599812,0.1720127],"genre_scores_gemma":[0.8417375,0.001519633,0.1425273,0.0003787637,0.00007527374,0.001774893,0.0008831378,0.0002327458,0.01087076],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03415604,"threshold_uncertainty_score":0.1806366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04773161146922378,"score_gpt":0.2788109143721889,"score_spread":0.2310793029029651,"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."}}