{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009992251,0.0007917801,0.0006912858,0.001236484,0.002307374,0.009309467,0.0009786427,0.001883211,0.00814621],"category_scores_gemma":[0.001979412,0.0003896321,0.0003026345,0.00239832,0.003064901,0.005040126,0.003072195,0.002207258,0.001327966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001786582,"about_ca_system_score_gemma":0.00300244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006909301,"about_ca_topic_score_gemma":0.01695643,"domain_scores_codex":[0.9994178,0.0002451965,0.00003917316,0.0001071568,0.0001365046,0.00005418344],"domain_scores_gemma":[0.9993185,0.0003622356,0.0000737372,0.00003084254,0.0001121386,0.0001026313],"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":[0.00001421301,0.00001740536,0.0008114445,0.0003053695,0.000008045414,0.0001901651,0.01608508,0.0001886233,0.0001108411,0.06649398,0.810192,0.1055828],"study_design_scores_gemma":[0.00000186032,0.000003600225,0.001044205,0.0002876724,0.000002182135,0.00006525451,0.004447,0.00003137704,0.00001870472,0.002660394,0.9914322,0.000005573463],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"other","genre_scores_codex":[0.01327561,0.6229866,0.00270761,0.1074412,0.06743591,0.0000483123,0.0003499295,0.0002190956,0.1855358],"genre_scores_gemma":[0.1429875,0.4035191,0.004358471,0.01772367,0.03577477,0.0001607247,0.0005210614,0.0004876696,0.3944671],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.009309467,"threshold_uncertainty_score":0.02725172,"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."}}