{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001427904,0.0004790647,0.0003352919,0.001720449,0.0006798416,0.001400903,0.0009432359,0.0004740766,0.07625932],"category_scores_gemma":[0.0009251067,0.0002969478,0.0002182735,0.004215394,0.0001313881,0.001201134,0.0006312368,0.0009867826,0.06071736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001470175,"about_ca_system_score_gemma":0.00203589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.229218,"about_ca_topic_score_gemma":0.3784092,"domain_scores_codex":[0.9998814,0.000009130832,0.000007918537,0.00003159405,0.00004724091,0.00002279681],"domain_scores_gemma":[0.9996829,0.00001059815,0.00002178928,0.00005028274,0.000213213,0.00002125733],"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":[0.00003959016,0.00003198117,0.004707804,0.0000743311,0.00001235631,0.00005568182,0.00008394956,0.001229125,0.0003145401,0.001792063,0.9653751,0.02628347],"study_design_scores_gemma":[0.00001938639,0.000004458555,0.01450591,0.00009231396,0.000009228768,0.00003841439,0.0002895237,0.001601351,0.0005470656,0.001026736,0.9818417,0.00002389919],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.007091848,0.0001164992,0.00215797,0.0003498606,0.000118064,0.0001370362,0.869734,0.001428255,0.1188664],"genre_scores_gemma":[0.02845544,0.0003468464,0.007002251,0.0001888465,0.0000355788,0.0004890005,0.8934085,0.0008256458,0.06924792],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.229218,"threshold_uncertainty_score":0.4557676,"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."}}