{"id":"W4247533771","doi":"10.1201/9781003211457-31","title":"Notes on the morphology and genesis of mud polygons on Mount Kenya, East Africa","year":2021,"lang":"en","type":"book-chapter","venue":"","topic":"Rangeland Management and Livestock Ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"York University; National Geographic Society","keywords":"Mount; Morphology (biology); Geography; Geology; Paleontology; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00002736347,0.0001139239,0.00005472396,0.0005411998,0.0005905373,0.0003422481,0.0001718269,0.0001124758,0.003117417],"category_scores_gemma":[0.0001280476,0.000139114,0.00003912382,0.0005881293,0.0005195849,0.0001785736,0.0002798834,0.0001282064,0.0003437689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002056695,"about_ca_system_score_gemma":0.0001001406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005012353,"about_ca_topic_score_gemma":0.03978191,"domain_scores_codex":[0.9999807,0.000002767353,9.017105e-7,0.000004144958,0.000006215996,0.000005222885],"domain_scores_gemma":[0.9999596,0.00001221144,0.00001543791,0.000002214091,0.000003839503,0.000006702518],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006068914,0.00006789427,0.3988038,0.0009202035,0.00003724268,0.03340447,0.06327864,0.002258939,0.2022302,0.00995189,0.008021457,0.2804184],"study_design_scores_gemma":[0.000003145877,0.00008987331,0.9203866,0.0001737916,0.00001243179,0.008312942,0.01070878,0.0002995331,0.002837854,0.0002472771,0.05691827,0.000009457809],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9714685,0.0006375281,0.000383955,0.00003080865,0.000004444731,0.00001967448,0.0001811649,0.00001182007,0.02726216],"genre_scores_gemma":[0.9856689,0.0005655673,0.001134199,0.00001132597,0.000004312213,0.000009586371,0.0001844649,0.00001244538,0.01240915],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005012353,"threshold_uncertainty_score":0.01042879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02181863334414113,"score_gpt":0.1969888903511514,"score_spread":0.1751702570070102,"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."}}