{"id":"W1568133682","doi":"10.4000/brussels.707","title":"The master plans: what comes next?","year":2016,"lang":"en","type":"article","venue":"Brussels Studies","topic":"Urban Planning and Governance","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Musée de la Civilisation","funders":"","keywords":"Humanities; Political science; Art","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":[],"consensus_categories":[],"category_scores_codex":[0.0003895065,0.00007783914,0.0001117994,0.000009816324,0.001000088,0.0002056887,0.0002223028,0.00003012989,0.00001679458],"category_scores_gemma":[0.0003904208,0.00003543778,0.00003834496,0.00007310716,0.0003859207,0.000501869,0.00005671572,0.00003926971,0.0001974664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006223196,"about_ca_system_score_gemma":0.00003657978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000228202,"about_ca_topic_score_gemma":0.003463532,"domain_scores_codex":[0.9991273,0.00008717716,0.000108156,0.0001324573,0.0002551375,0.0002897932],"domain_scores_gemma":[0.9986873,0.001017682,0.00006535315,0.0001339757,0.00005932321,0.0000363109],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004929656,0.00003069277,0.06786498,0.00001338135,0.0002949694,0.0000177132,0.06772569,4.763968e-7,0.0001289866,0.05714061,0.6062799,0.2004534],"study_design_scores_gemma":[0.0001335211,0.00001761713,0.009976528,0.00014593,0.00000912697,4.997156e-7,0.03603706,1.82845e-7,0.00004799984,0.002697721,0.9508398,0.00009400458],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.423308,0.2174573,0.00008499818,0.3025354,0.006417983,0.0005370303,0.00003579422,0.0004345466,0.04918897],"genre_scores_gemma":[0.8071118,0.0785525,0.00004139823,0.0007338119,0.0005527469,0.00002870674,2.050363e-7,0.000009286849,0.1129696],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3838038,"threshold_uncertainty_score":0.7691968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1163865031580613,"score_gpt":0.3367284168534999,"score_spread":0.2203419136954386,"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."}}