{"id":"W6967294367","doi":"10.5063/f1d798qq","title":"Elevation per SASAP region and Hydrologic Unit (HUC8) boundary for Alaskan watersheds","year":2018,"lang":"en","type":"dataset","venue":"UC Santa Barbara","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Shapefile; Watershed; Elevation (ballistics); Boundary (topology); Merge (version control); Unit (ring theory); Boundary line; Range (aeronautics); Data set","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009382476,0.001018774,0.0009387106,0.0007985074,0.000631351,0.0004174365,0.0008612075,0.001224403,0.0006692447],"category_scores_gemma":[0.0002697009,0.0009109279,0.0002247755,0.000365828,0.0007809213,0.0005239315,0.0003762021,0.0007037062,0.003883931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002934612,"about_ca_system_score_gemma":0.0002802387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003073247,"about_ca_topic_score_gemma":0.0002715023,"domain_scores_codex":[0.9956893,0.0003270716,0.0007840646,0.001473711,0.0006278037,0.001098067],"domain_scores_gemma":[0.9968511,0.000262048,0.0006127444,0.001681461,0.0003008553,0.0002918003],"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":[0.0006143174,0.0001112978,0.0006330778,0.000372404,0.000177165,0.00003773246,0.0001077353,9.835721e-7,0.0007069778,0.00001000328,0.9970418,0.000186491],"study_design_scores_gemma":[0.001476573,0.0008296428,0.001216331,0.0001768355,0.000616799,0.0002192573,0.00005200136,0.0002475352,0.0001908301,0.000748644,0.9931479,0.001077723],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.03939744,0.0007387309,0.00002857135,0.0001887908,0.0008852652,0.00168331,0.9566389,0.0002808162,0.0001582241],"genre_scores_gemma":[0.003768088,0.0004574599,0.0002435533,0.0008666057,0.00163641,0.0002881304,0.9918563,0.0002594393,0.0006239476],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03562935,"threshold_uncertainty_score":0.9993342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03416938128174143,"score_gpt":0.2868004739411696,"score_spread":0.2526310926594282,"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."}}