{"id":"W6950802283","doi":"10.5683/sp3/bdwvel","title":"NWTC Store and Warehouse -- Herschel Island -- Laser Scanning -- 2018/19","year":2021,"lang":"en","type":"dataset","venue":"Borealis","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Laser scanning; Laser; Warehouse; Data set; Set (abstract data type)","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":[0.0006617599,0.001686054,0.0009933803,0.001951022,0.0007638963,0.001263545,0.002061957,0.001205347,0.01843686],"category_scores_gemma":[0.001511914,0.0004299199,0.0006838164,0.00346267,0.0004546016,0.0007856101,0.001431036,0.001164243,0.05143968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008799831,"about_ca_system_score_gemma":0.001910442,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05137851,"about_ca_topic_score_gemma":0.1465414,"domain_scores_codex":[0.9992946,0.00006256038,0.00004280446,0.0001977939,0.0002597634,0.0001423674],"domain_scores_gemma":[0.9993023,0.00006156386,0.00005130258,0.0001926216,0.0003053051,0.00008683876],"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":[0.0001220726,0.00007021856,0.003995068,0.0003382485,0.00004115087,0.00008382792,0.0001061031,0.0005250379,0.0008773758,0.0004300932,0.9842159,0.009194921],"study_design_scores_gemma":[0.0001057539,0.00002562781,0.01935755,0.0001494678,0.00002532359,0.0001088811,0.0003683923,0.001006973,0.001735756,0.0006307852,0.976435,0.00005047689],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002735157,0.0001094886,0.0002687721,0.00006923089,0.00005721085,0.00002945906,0.9930184,0.0009937661,0.002718598],"genre_scores_gemma":[0.001260064,0.0000306959,0.0005311414,0.00001606655,0.000007377554,0.00003929132,0.9970545,0.00009525797,0.0009656918],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9486215,"threshold_uncertainty_score":0.1021589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0172351480945435,"score_gpt":0.2318597365005805,"score_spread":0.214624588406037,"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."}}