{"id":"W4398396008","doi":"10.7910/dvn/dynawt/5cwa5r","title":"L3.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); Geology; Artificial intelligence; Statistics; Optics; Laser; Combinatorics; Physics; 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":[0.001415662,0.004914709,0.002505574,0.004810376,0.001211333,0.004687543,0.005488309,0.003079022,0.2451646],"category_scores_gemma":[0.007301824,0.001357191,0.002137628,0.009295651,0.0007472055,0.003810596,0.004387432,0.003090775,0.3836998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001796725,"about_ca_system_score_gemma":0.00219981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0259038,"about_ca_topic_score_gemma":0.03747132,"domain_scores_codex":[0.9984334,0.0002717926,0.0001674493,0.0005013187,0.0003046738,0.0003213118],"domain_scores_gemma":[0.9974515,0.0005896229,0.0002001035,0.0008500166,0.0005732277,0.0003355028],"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":[0.000025594,0.00000753676,0.0001016418,0.0002006379,0.00001177167,0.00000552593,0.000008490066,0.00008866988,0.00002821805,0.0002110285,0.9985924,0.0007184586],"study_design_scores_gemma":[0.0002113587,0.00001701747,0.001053588,0.0002119285,0.00001810132,0.00002862757,0.00007038304,0.0004857632,0.0002493858,0.002458984,0.9951648,0.00003016068],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003292528,0.00003220821,0.00005021105,0.00005544843,0.0000252945,0.000006022295,0.9978188,0.001246147,0.0007329332],"genre_scores_gemma":[0.0001619782,0.00003344904,0.0001560319,0.00005572111,0.00001009697,0.00003511017,0.9987289,0.0003127357,0.0005058249],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7548354,"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."}}