{"id":"W788509512","doi":"","title":"Urban Rivers: Remaking Rivers, Cities, and Space in Europe and North America","year":2015,"lang":"en","type":"article","venue":"Material culture","topic":"American Environmental and Regional History","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Urbanization; Industrialisation; Politics; Atlanta; Water resources; Urban planning; Geography; Political science; Archaeology; Economic growth; Metropolitan area; Civil engineering; Law","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":[0.00003134656,0.000114842,0.0001164539,0.00001102661,0.00006521789,0.00001431631,0.00007376903,0.00003515799,0.000197202],"category_scores_gemma":[0.000006154088,0.00009070581,0.000009117127,0.0001006005,0.00115956,0.0001402333,0.0002069865,0.0000651207,0.00007714749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000125091,"about_ca_system_score_gemma":0.000004376849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006327062,"about_ca_topic_score_gemma":0.00008528298,"domain_scores_codex":[0.9993603,0.00003961638,0.00007624534,0.0002306202,0.0001448409,0.0001483428],"domain_scores_gemma":[0.9997543,0.000002938498,0.00004855022,0.00007713341,0.00000213764,0.0001149506],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006081008,0.0002164247,0.4886756,0.00005644246,0.00003258101,0.0005251571,0.1130501,0.0004770725,0.03593822,0.0002017948,0.3496144,0.01060405],"study_design_scores_gemma":[0.0003666897,0.0001304665,0.09162252,0.00001294486,0.000008328025,0.00002745429,0.002380772,0.00001641143,0.00007786791,0.0000584523,0.9050794,0.0002186905],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899558,0.0001811516,0.000006757809,0.0001337111,0.0001158193,0.00008195918,0.00002179851,0.00001898663,0.009483994],"genre_scores_gemma":[0.9947736,0.0002190316,0.001030862,0.0003617571,0.00008124892,0.000003460534,0.00002501528,0.00001034944,0.003494652],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.555465,"threshold_uncertainty_score":0.4272447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009348983975146852,"score_gpt":0.174945299300688,"score_spread":0.1655963153255412,"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."}}