{"id":"W4398478833","doi":"10.7910/dvn/dynawt/uk4elm","title":"S2.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; Replication (statistics); Fractal; Laser scanning; Geometry; Tree (set theory); Point (geometry); Remote sensing; Geology; Computer science; Computer graphics (images); Mathematics; Laser; Optics; Physics; Artificial intelligence; Combinatorics; 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":[0.001104359,0.004322619,0.002293411,0.00434725,0.00102723,0.004446216,0.004386602,0.002809185,0.2904249],"category_scores_gemma":[0.006227737,0.001217638,0.001733794,0.009237777,0.0006237152,0.003635194,0.003783453,0.00267887,0.4078026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00159121,"about_ca_system_score_gemma":0.001876823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02132719,"about_ca_topic_score_gemma":0.03068004,"domain_scores_codex":[0.9988838,0.0001814619,0.0001193313,0.0003700455,0.0002002182,0.0002452614],"domain_scores_gemma":[0.9978259,0.0005170741,0.00018853,0.0006671129,0.0004830932,0.0003183091],"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":[0.00002822593,0.000008344191,0.0001290348,0.0002282698,0.00001141618,0.000006114447,0.000009489063,0.00009981732,0.00002897532,0.0002523737,0.9984086,0.0007892244],"study_design_scores_gemma":[0.0001806183,0.00001541995,0.001121078,0.0002044988,0.00001562251,0.00002493921,0.00006589594,0.0003546255,0.0002167077,0.002227624,0.9955479,0.00002513253],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002785008,0.00002695403,0.00003427187,0.00004842059,0.0000245495,0.00000497963,0.9984426,0.0006883191,0.0007021065],"genre_scores_gemma":[0.0001863122,0.00003849128,0.0001251757,0.0000539368,0.0000117277,0.0000325646,0.9987156,0.0002394807,0.0005968322],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7095751,"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."}}