{"id":"W4206710465","doi":"10.4095/329335","title":"National Elevation Data Strategy update, fall 2021","year":2021,"lang":"en","type":"report","venue":"","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Elevation (ballistics); Lidar; Computer science; Remote sensing; Geography; Engineering","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":[0.003416764,0.00126466,0.0007984209,0.003749599,0.0009489834,0.004334207,0.001737458,0.002178514,0.04107431],"category_scores_gemma":[0.01227998,0.0007410838,0.0005428044,0.007993887,0.0002951943,0.003013432,0.001859406,0.002639095,0.0632197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00316551,"about_ca_system_score_gemma":0.01068443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1529424,"about_ca_topic_score_gemma":0.1503553,"domain_scores_codex":[0.9966506,0.0003298871,0.0003391138,0.0001949793,0.002187666,0.0002977174],"domain_scores_gemma":[0.9897713,0.0007897426,0.0005146569,0.0004351026,0.008027096,0.0004620206],"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":[0.00003616741,0.00002902604,0.000528959,0.00007346304,0.000004005985,0.00001933315,0.00001614381,0.00009379485,0.00004789512,0.0006790104,0.9867487,0.01172348],"study_design_scores_gemma":[0.0000206332,0.000008374641,0.003299491,0.00007216903,0.000005904547,0.00002139162,0.00004179891,0.00009568049,0.0001212238,0.0003221419,0.9959812,0.000009930101],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.001519371,0.002270631,0.00281689,0.01430329,0.007579132,0.0003995905,0.8082801,0.002263394,0.1605676],"genre_scores_gemma":[0.005907424,0.002658549,0.007191164,0.006003211,0.0008557035,0.001030893,0.7997194,0.000808706,0.175825],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1529424,"threshold_uncertainty_score":0.3041044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07346194404059295,"score_gpt":0.3254296402670166,"score_spread":0.2519676962264237,"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."}}