{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.00125659,0.0003387776,0.0003571674,0.0001418358,0.001452854,0.0003340881,0.0001485014,0.0001965992,0.00001341382],"category_scores_gemma":[0.000165526,0.0003269503,0.00003601304,0.0001210601,0.0004789876,0.0003887161,0.00007159626,0.0003386087,0.000008709797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006685349,"about_ca_system_score_gemma":0.00007720228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003835747,"about_ca_topic_score_gemma":0.000001738444,"domain_scores_codex":[0.9978489,0.000256991,0.0002810869,0.0006005654,0.0003705772,0.0006418829],"domain_scores_gemma":[0.9985813,0.0007294639,0.0001881915,0.000158442,0.000009452669,0.0003330772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004001591,0.00009561928,0.7317268,0.00005894448,0.0001883276,0.0006470384,0.09539563,0.1566196,0.0007884605,0.002223056,0.006487879,0.005368572],"study_design_scores_gemma":[0.009770828,0.0026399,0.7324082,0.006068219,0.001009262,0.000400939,0.06878011,0.0151439,0.001852747,0.01767599,0.1376064,0.006643417],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4973974,0.04588927,0.4515195,0.001047656,0.000314999,0.0005986599,0.0000212187,0.0002925841,0.002918768],"genre_scores_gemma":[0.9803033,0.0005357703,0.01775719,0.0001581367,0.0003055179,0.00001879159,0.00001156099,0.00003187499,0.0008777825],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.482906,"threshold_uncertainty_score":0.9999183,"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."}}