{"id":"W2888383565","doi":"","title":"2014 OLC Lidar DEM: Colville, WA","year":2017,"lang":"sw","type":"article","venue":"downloadable data","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lidar; Digital elevation model; Remote sensing; Elevation (ballistics); Metre; Point cloud; Ranging; Environmental science; Metadata; Geographic information system; Geography; Meteorology; Computer science; Geodesy; Engineering; Physics","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","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008802602,0.0003717032,0.0003768066,0.00004255781,0.002568827,0.00102041,0.005039421,0.0002419893,0.005371714],"category_scores_gemma":[0.0002772816,0.0003584808,0.00008048106,0.0001267747,0.0008657078,0.001149747,0.003755346,0.0004164462,0.04420727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001398999,"about_ca_system_score_gemma":0.00008657741,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01471368,"about_ca_topic_score_gemma":0.001632736,"domain_scores_codex":[0.9967161,0.00009571687,0.0004417564,0.001348469,0.0006104743,0.0007874264],"domain_scores_gemma":[0.9886298,0.00009667317,0.0004318212,0.01044091,0.00002502828,0.0003757269],"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":[0.00001754034,0.0001635669,0.003803644,0.00002170669,0.00004742379,0.00002234219,0.0001009989,0.00002568762,0.003805307,0.0001797058,0.917455,0.07435708],"study_design_scores_gemma":[0.0004494071,0.00005358682,0.03780625,0.00006072781,0.0001114008,0.00002895866,0.0001218184,0.006298465,0.001440613,0.0001980965,0.9529238,0.0005068927],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08137266,0.003517743,0.003391566,0.0193691,0.003868462,0.002397503,0.02047496,0.0004171095,0.8651909],"genre_scores_gemma":[0.958335,0.00239679,0.007412302,0.0007081406,0.0006514898,0.000007011339,0.003166178,0.00007645151,0.02724657],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8769624,"threshold_uncertainty_score":0.9998867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04198005993914132,"score_gpt":0.2947195436391599,"score_spread":0.2527394837000186,"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."}}