{"id":"W6949424820","doi":"10.5281/zenodo.1478895","title":"Digital Elevation Models (Experimental Bed)","year":2018,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Flume; Digital elevation model; Elevation (ballistics); Sediment; Hydrology (agriculture)","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":[0.000348904,0.0007461389,0.0005339197,0.001087137,0.0003263369,0.0009272603,0.001365873,0.0008848125,0.06338131],"category_scores_gemma":[0.001314436,0.0004885552,0.0008144245,0.00344584,0.0002982228,0.0006719519,0.0006653348,0.0009709205,0.02671344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004338213,"about_ca_system_score_gemma":0.0007504298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01130861,"about_ca_topic_score_gemma":0.02164123,"domain_scores_codex":[0.9996445,0.00004795788,0.00003898799,0.00009567124,0.0001227212,0.0000500898],"domain_scores_gemma":[0.9993526,0.00009083124,0.00003302902,0.0002076348,0.0002696695,0.000046219],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001120135,0.0009106562,0.027284,0.001490702,0.0003291882,0.001065235,0.0009623208,0.29407,0.02524316,0.01648072,0.4101725,0.2208715],"study_design_scores_gemma":[0.0009263488,0.0001669284,0.06451521,0.0002188763,0.0001917772,0.0004367753,0.0007112026,0.2648529,0.01908597,0.008723285,0.6399127,0.000258168],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.06454714,0.0002494965,0.05685916,0.0004737471,0.0004742685,0.0005674092,0.8144919,0.0126435,0.04969355],"genre_scores_gemma":[0.4000082,0.0003919794,0.07038708,0.0001531588,0.00009154392,0.001582885,0.5113413,0.001934817,0.01410903],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06338131,"threshold_uncertainty_score":0.2120316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05284887825358298,"score_gpt":0.2841147411381005,"score_spread":0.2312658628845176,"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."}}