{"id":"W7047403664","doi":"","title":"HydroSHEDS-X: A new source for hydro-ecologial research and applications in the Canadian Arctic","year":2021,"lang":"en","type":"other","venue":"elib (German Aerospace Center)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Shuttle Radar Topography Mission; Digital elevation model; Hydrography; Arctic; Elevation (ballistics); Drainage basin; The arctic; Catchment hydrology","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":[0.001169288,0.001466058,0.0009173554,0.006475851,0.002289548,0.002461511,0.002269878,0.0007171431,0.01958465],"category_scores_gemma":[0.003465834,0.0007167278,0.0009977953,0.01145933,0.0004549382,0.001470127,0.002563351,0.001213357,0.01142149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007007574,"about_ca_system_score_gemma":0.02722974,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9262832,"about_ca_topic_score_gemma":0.936434,"domain_scores_codex":[0.9990242,0.00003636109,0.00006317215,0.0001457094,0.0005658005,0.0001648157],"domain_scores_gemma":[0.9965476,0.0001386893,0.0001256121,0.0003140934,0.002422095,0.0004520302],"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":[0.0002541659,0.0000555964,0.01471356,0.0008011889,0.0001463063,0.0002686164,0.0005874697,0.005248533,0.002448517,0.005003037,0.8732483,0.09722475],"study_design_scores_gemma":[0.00006224452,0.000009492065,0.01888142,0.0002410673,0.00004464795,0.00007160872,0.0002010784,0.004297513,0.001294794,0.001426096,0.9733299,0.0001401753],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00585088,0.0008052871,0.01013496,0.0003544576,0.0001971779,0.0001933169,0.9405788,0.01653189,0.02535326],"genre_scores_gemma":[0.01082727,0.000888522,0.02434339,0.0001710661,0.00003886453,0.0001927996,0.9501072,0.003252314,0.0101785],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07371676,"threshold_uncertainty_score":0.1483017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02990459304913096,"score_gpt":0.3293419960776084,"score_spread":0.2994374030284775,"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."}}