{"id":"W6969339479","doi":"10.5683/sp3/dpzucn","title":"NWTC Store and Warehouse -- Herschel Island -- Laser Scanning -- Metadata -- 2018/19","year":2021,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Metadata; Laser scanning; Set (abstract data type); Laser; Data set; Warehouse","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":[],"consensus_categories":[],"category_scores_codex":[0.001024588,0.002572658,0.001383261,0.002828886,0.001143352,0.002040599,0.002904805,0.001985245,0.02907922],"category_scores_gemma":[0.002878211,0.0006678986,0.001124641,0.004523727,0.0007005676,0.001438959,0.002404394,0.001660689,0.09102011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001482002,"about_ca_system_score_gemma":0.002795748,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0623682,"about_ca_topic_score_gemma":0.167709,"domain_scores_codex":[0.9986057,0.0001332416,0.0001031406,0.0003938481,0.0005018486,0.0002623228],"domain_scores_gemma":[0.9985859,0.0001586413,0.0001090062,0.0004397607,0.000541736,0.0001648783],"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":[0.00008879205,0.00004482322,0.002389101,0.0003966819,0.00003271378,0.00005960637,0.00008200763,0.0004091495,0.0005826859,0.0004865661,0.9885748,0.006853106],"study_design_scores_gemma":[0.00006333636,0.00002050215,0.009888619,0.0001788249,0.00002274226,0.0001051975,0.0002405189,0.0007666942,0.001326455,0.0007746239,0.9865533,0.00005923845],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007798986,0.00009522826,0.0002713067,0.00006094917,0.00006435606,0.00002385743,0.9957716,0.001184063,0.001748716],"genre_scores_gemma":[0.0004702574,0.00002531128,0.0004164186,0.00001547828,0.000005430381,0.00003384402,0.9982902,0.0001026173,0.000640504],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9376318,"threshold_uncertainty_score":0.1240103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03215660120467,"score_gpt":0.2828115996857999,"score_spread":0.2506549984811299,"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."}}