{"id":"W4398687614","doi":"10.7910/dvn/dynawt/8ddoqa","title":"L5.txt","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Point cloud; Laser scanning; Replication (statistics); Fractal; Geometry; Point (geometry); Tree (set theory); Remote sensing; Geography; Computer science; Computer graphics (images); Mathematics; Artificial intelligence; Optics; Laser; Physics; Statistics; Mathematical analysis","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001317515,0.004470393,0.002312292,0.004862329,0.001126983,0.004464224,0.004913634,0.002897672,0.2423842],"category_scores_gemma":[0.007051856,0.001243608,0.001868004,0.009231311,0.000689655,0.003768166,0.003999651,0.002876014,0.3655178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001752885,"about_ca_system_score_gemma":0.002075528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0244863,"about_ca_topic_score_gemma":0.03393929,"domain_scores_codex":[0.9985709,0.0002515406,0.0001531353,0.0004546721,0.000269628,0.0003001985],"domain_scores_gemma":[0.9975744,0.0005490778,0.0002032666,0.0008042584,0.0005385039,0.0003305496],"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":[0.00002587207,0.000007828482,0.000113173,0.0002049402,0.00001108162,0.000005592369,0.000008591865,0.00009121903,0.00002687854,0.0002440331,0.9984859,0.0007749633],"study_design_scores_gemma":[0.000192767,0.00001733652,0.001174437,0.00021651,0.00001636347,0.00002713833,0.00006880546,0.0004304672,0.0002303799,0.002345088,0.9952536,0.00002724561],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003517891,0.00003471327,0.00004691248,0.00005636717,0.00002565774,0.000005800904,0.9979481,0.001054041,0.0007932726],"genre_scores_gemma":[0.0001725624,0.00003616184,0.0001412247,0.00005548013,0.00001045822,0.00003074681,0.9987732,0.0002501527,0.0005300433],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7576158,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01322673037032948,"score_gpt":0.2259884085596669,"score_spread":0.2127616781893374,"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."}}