{"id":"W4398468947","doi":"10.7910/dvn/dynawt/kebcir","title":"S1.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; Computer science; Mathematics; Computer graphics (images); Geography; Laser; Optics; Artificial intelligence; Physics; Statistics; Combinatorics; 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":[0.001065333,0.004056848,0.002267591,0.004175547,0.0009945432,0.004199942,0.004268893,0.002734797,0.3209889],"category_scores_gemma":[0.006731624,0.001215169,0.001596752,0.009513849,0.0005942052,0.003580433,0.003668301,0.002597941,0.424653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001604635,"about_ca_system_score_gemma":0.00186365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02089057,"about_ca_topic_score_gemma":0.03120484,"domain_scores_codex":[0.9989341,0.0001709862,0.0001191228,0.0003601061,0.0001873369,0.0002283791],"domain_scores_gemma":[0.9977407,0.0005905146,0.0002027691,0.000644182,0.0005025035,0.0003192824],"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":[0.00002766096,0.000008310548,0.0001320433,0.0002679276,0.00001145652,0.000006187076,0.00001014495,0.0001070827,0.00003068384,0.0002694022,0.9982504,0.0008785846],"study_design_scores_gemma":[0.0001740519,0.00001505626,0.00113471,0.0002279106,0.00001589379,0.00002314311,0.00006376156,0.0003121839,0.0002047979,0.002241096,0.9955633,0.00002415691],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000244343,0.00002578454,0.00003238275,0.00004325628,0.00002087164,0.000004596291,0.9986499,0.0005597589,0.000639141],"genre_scores_gemma":[0.0001767454,0.00004065899,0.0001304227,0.00005522502,0.00001057922,0.00003357617,0.9987333,0.0002160378,0.0006034208],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6790111,"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."}}