{"id":"W2797172000","doi":"","title":"The National Mall: No Ordinary Public Space , By Lisa Benton-Short. Toronto: University of Toronto Press, 2016","year":2017,"lang":"en","type":"article","venue":"Civil engineering","topic":"Urbanization and City Planning","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Public space; Space (punctuation); Engineering; Media studies; Library science; Sociology; Architectural engineering; Computer science; Operating system","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000309415,0.00006405787,0.00007122506,0.000002855064,0.0007864399,0.0001384825,0.0004519247,0.00005824,0.0005425357],"category_scores_gemma":[0.0002989143,0.00006350673,0.00003291855,0.00001363695,0.00007753829,0.0009861876,0.00008430779,0.0000481479,0.000006250196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002744571,"about_ca_system_score_gemma":0.00008890794,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01448141,"about_ca_topic_score_gemma":0.04895829,"domain_scores_codex":[0.9993305,0.00002008515,0.00006990942,0.0001070665,0.0002868233,0.0001856301],"domain_scores_gemma":[0.9994906,0.00006496452,0.00005758308,0.0001406169,0.0001642229,0.00008201931],"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":[0.00001738777,0.00007780488,0.007536828,0.00003387848,0.0001267719,0.000003111973,0.004658073,0.0004607106,0.001653117,0.1304141,0.8528776,0.002140668],"study_design_scores_gemma":[0.00007942332,0.00000719879,0.005307126,0.0000165722,0.00000471784,1.541801e-7,0.0004198379,0.001843283,0.00001807041,0.000005088559,0.9922151,0.00008342355],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.004636443,0.008207304,0.002349258,0.002267422,0.00116884,0.0002554565,0.00004628907,0.0002010467,0.9808679],"genre_scores_gemma":[0.9628486,0.002356569,0.0001884123,0.00002406224,0.0002548403,0.000001384078,0.00001040767,0.00001204134,0.0343037],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9582121,"threshold_uncertainty_score":0.9920812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01817569793647505,"score_gpt":0.2436853892125258,"score_spread":0.2255096912760507,"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."}}