{"id":"W4398695593","doi":"10.7910/dvn/dynawt/whuv2a","title":"L1.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 graphics (images); Computer science; Mathematics; Geology; 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":[0.001322421,0.004569351,0.002295992,0.004706679,0.001124208,0.004430159,0.004932667,0.003028047,0.2528977],"category_scores_gemma":[0.00745441,0.001278625,0.001852692,0.009170194,0.0006691407,0.003815107,0.004053847,0.002854183,0.3864837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001746219,"about_ca_system_score_gemma":0.002062881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02355244,"about_ca_topic_score_gemma":0.03417907,"domain_scores_codex":[0.9985955,0.0002400583,0.0001445052,0.0004609488,0.0002673494,0.0002915406],"domain_scores_gemma":[0.9974263,0.0006179753,0.0002111563,0.00082655,0.000574909,0.0003430561],"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":[0.00002499124,0.000007795835,0.0001120625,0.0002070063,0.00001044404,0.000005186543,0.000008423826,0.00009049948,0.00002749231,0.0002157019,0.9985267,0.0007636572],"study_design_scores_gemma":[0.0001978892,0.00001772072,0.001156599,0.0002209515,0.00001690605,0.00002633756,0.00006689101,0.0004534342,0.0002289813,0.002261773,0.9953247,0.00002770855],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003223371,0.00003090858,0.0000419918,0.00005640965,0.00002441608,0.000005596504,0.9981127,0.0009714147,0.0007243243],"genre_scores_gemma":[0.0001654436,0.00003549343,0.0001390658,0.00005491938,0.00001040293,0.00003286399,0.9987671,0.0002592517,0.0005354196],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7471024,"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."}}