{"id":"W6926203804","doi":"10.18739/a2f47gt8n","title":"2015-2016 Field deployment data from Arctic Lakes in Northwest Territories, Canada: L520","year":2017,"lang":"en","type":"dataset","venue":"UC Santa Barbara","topic":"Face recognition and analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Permafrost; Arctic; Hydrology (agriculture); Spring (device); Channel (broadcasting); Outflow; Open water; Delta; Head (geology)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003396476,0.001460803,0.0006551913,0.002289684,0.001343719,0.001041694,0.00148112,0.0006137289,0.006075679],"category_scores_gemma":[0.001170197,0.000388881,0.0004898298,0.004868147,0.0005160494,0.000540053,0.0008810498,0.0006839253,0.008312071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00565824,"about_ca_system_score_gemma":0.01126012,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9183618,"about_ca_topic_score_gemma":0.9713614,"domain_scores_codex":[0.9995421,0.00001583095,0.00002497077,0.0001009516,0.0001839368,0.0001321274],"domain_scores_gemma":[0.9989404,0.00003418494,0.00005304992,0.00009152979,0.0007693536,0.0001114558],"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":[0.0001242101,0.00005758983,0.02053613,0.0002992521,0.00006997711,0.0001302402,0.0001572824,0.001266004,0.0006201027,0.0003373012,0.9653721,0.01102968],"study_design_scores_gemma":[0.000157113,0.00003378297,0.1994359,0.0004131567,0.00008702524,0.0002240571,0.001437472,0.004902648,0.002266172,0.000554417,0.7903937,0.00009469492],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.006997263,0.000187953,0.0001870569,0.00007708786,0.00003465635,0.00002547265,0.990575,0.0003636929,0.001551813],"genre_scores_gemma":[0.005945043,0.00009901584,0.0003777397,0.00002574105,0.000006362437,0.00003547424,0.991838,0.00002930263,0.001643315],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08163816,"threshold_uncertainty_score":0.1642379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02649640368512773,"score_gpt":0.2807420154694612,"score_spread":0.2542456117843335,"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."}}