{"id":"W2016739786","doi":"10.5539/jgg.v2n1p18","title":"Morphometric Parameters of the Calabar River Basin: Implication for Hydrologic Processes","year":2010,"lang":"en","type":"article","venue":"Journal of Geography and Geology","topic":"Groundwater and Watershed Analysis","field":"Environmental Science","cited_by":114,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Drainage basin; Drainage density; Hydrology (agriculture); Structural basin; Surface runoff; Drainage; Denudation; Erosion; STREAMS; Drainage network; Geology; Flooding (psychology); Landslide; Geomorphology; Environmental science; Geography; Geotechnical engineering; Ecology; Paleontology; Tectonics; Cartography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0001901684,0.0001407068,0.0001390655,0.001324955,0.0004223939,0.0005156185,0.000151033,0.0001130869,0.001372239],"category_scores_gemma":[0.0008449563,0.0001155102,0.00007229239,0.00144586,0.0005594384,0.0002413573,0.0003315652,0.0001579785,0.00006966219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009421226,"about_ca_system_score_gemma":0.00070743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1019274,"about_ca_topic_score_gemma":0.1479392,"domain_scores_codex":[0.9998959,0.0000219155,0.00000638084,0.00001873199,0.00003867424,0.00001838868],"domain_scores_gemma":[0.9997588,0.0000501526,0.00009476498,0.00001452826,0.00005179754,0.00002992242],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009101975,0.00004344478,0.9048542,0.00006373624,0.00003719184,0.0002633563,0.001275403,0.005069739,0.01787159,0.001179477,0.000489536,0.06876134],"study_design_scores_gemma":[0.000001100585,0.00001231794,0.9968284,0.000003892615,0.000003394091,0.00006152858,0.0003842622,0.001647658,0.0002242966,0.0001294639,0.0006985196,0.000005177465],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984689,0.0001381562,0.0003869476,0.00003628498,0.000001278607,0.000006685809,0.000121903,0.000009306268,0.0008303942],"genre_scores_gemma":[0.9989593,0.0001040455,0.0004531349,0.00000508564,0.000001946665,0.000005992308,0.0001507985,0.000002058627,0.0003176993],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1019274,"threshold_uncertainty_score":0.2026682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005046348739520361,"score_gpt":0.1982571064610996,"score_spread":0.1932107577215793,"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."}}