{"id":"W2170450581","doi":"10.1017/cbo9780511807459.011","title":"ROUTES: NETWORKS, COST PATHS AND HYDROLOGY","year":2006,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Archaeology and ancient environmental studies","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"","keywords":"Hydrology (agriculture); Computer science; Environmental science; Geography; Geology; Geotechnical engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002890837,0.0008696736,0.0003693786,0.001083386,0.0003392093,0.00256549,0.0006210704,0.001001285,0.01647796],"category_scores_gemma":[0.001247254,0.0002864523,0.0002708495,0.003754042,0.00147583,0.004123575,0.0006081872,0.001047411,0.002993048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001406202,"about_ca_system_score_gemma":0.0007057552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004301428,"about_ca_topic_score_gemma":0.006603906,"domain_scores_codex":[0.9998388,0.00004861842,0.000007163178,0.00003523111,0.00006029272,0.000009782486],"domain_scores_gemma":[0.9997862,0.0001244024,0.00002007777,0.00001827213,0.00003883031,0.000012314],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00001110183,0.00001114391,0.000274908,0.000273959,0.00001540665,0.00005382122,0.0002404704,0.01193703,0.0001491599,0.8211009,0.0555105,0.1104216],"study_design_scores_gemma":[0.000004316453,0.00001011931,0.0004580001,0.0001296117,0.000007795452,0.0001615315,0.0001783358,0.004364189,0.00007527371,0.5742109,0.4203888,0.00001115236],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.009302347,0.1790972,0.2104881,0.01505004,0.002356001,0.00008787523,0.001812874,0.0006564772,0.581149],"genre_scores_gemma":[0.1938345,0.2567927,0.1308816,0.001926633,0.003159243,0.0003446608,0.002358904,0.0006622089,0.4100395],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01647796,"threshold_uncertainty_score":0.05512428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01103710314274299,"score_gpt":0.1541148726683066,"score_spread":0.1430777695255636,"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."}}