{"id":"W4398393151","doi":"10.7910/dvn/dynawt/1jbs5z","title":"07-Curatella_ americana.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; Fractal; Replication (statistics); Laser scanning; Geometry; Tree (set theory); Point (geometry); Mathematics; Computer science; Computer graphics (images); Artificial intelligence; Optics; Statistics; Combinatorics; Laser; Mathematical analysis; Physics","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":[0.0009408708,0.003423171,0.00231117,0.004908274,0.001051959,0.00464117,0.004096755,0.002219414,0.2585866],"category_scores_gemma":[0.005196886,0.001176857,0.001585499,0.01004144,0.0005935002,0.003433182,0.003387154,0.002233368,0.3896393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001775485,"about_ca_system_score_gemma":0.002263389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03807495,"about_ca_topic_score_gemma":0.04496185,"domain_scores_codex":[0.998971,0.0001488685,0.00009157704,0.0003273563,0.0002152337,0.0002460945],"domain_scores_gemma":[0.9979762,0.0004144251,0.000182279,0.0006253256,0.0005141458,0.0002875483],"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":[0.00002025893,0.000005752172,0.0001330776,0.0001970029,0.00001142811,0.000004637215,0.000007275395,0.000061492,0.00002874241,0.0002659873,0.998529,0.0007352995],"study_design_scores_gemma":[0.00009629311,0.000006003055,0.001198256,0.0001661354,0.00001300808,0.00001265389,0.00004172226,0.0002135014,0.000172799,0.001387033,0.9966705,0.00002212871],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002258419,0.00002833321,0.00003108304,0.00004802098,0.0000184969,0.000003168587,0.9982895,0.0007454113,0.0008134039],"genre_scores_gemma":[0.0001773241,0.00004627898,0.000119001,0.00004542274,0.000009267703,0.00003273869,0.998518,0.0003062054,0.0007457187],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7414135,"threshold_uncertainty_score":0.8650582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01331488382659863,"score_gpt":0.2297724088414422,"score_spread":0.2164575250148436,"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."}}