{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science"],"consensus_categories":[],"category_scores_codex":[0.0002246478,0.0004151126,0.0006044901,0.0001955965,0.000197157,0.0004980772,0.005569388,0.0002539826,0.0005843761],"category_scores_gemma":[0.0002583411,0.0003809491,0.00008160101,0.0001890007,0.0000481669,0.000595026,0.001544121,0.0005689978,0.0002620912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002464278,"about_ca_system_score_gemma":0.001670465,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9746568,"about_ca_topic_score_gemma":0.9974102,"domain_scores_codex":[0.9971232,0.000112504,0.0005033307,0.001124847,0.0006539557,0.0004821687],"domain_scores_gemma":[0.9946873,0.0002929415,0.0003178951,0.004394771,0.00007166111,0.0002354492],"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":[0.000004379325,0.00005785126,0.002642522,0.00003488831,0.0000876175,0.0002722887,0.00001092185,0.000002123886,0.000001397518,0.000001497464,0.9948031,0.002081415],"study_design_scores_gemma":[0.0003004213,0.00002357783,0.002849163,0.0003384775,0.00009230492,0.000007096648,0.00001469532,0.001443388,0.00001950517,0.00004564036,0.99437,0.0004957017],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001647123,0.00130287,0.00023608,0.001656627,0.002058881,0.0001585773,0.9943378,0.00003970053,0.0000447772],"genre_scores_gemma":[0.001435278,0.001335353,0.0003254069,0.001206761,0.0005492061,0.00002334254,0.9949441,0.00001547399,0.0001650592],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02275337,"threshold_uncertainty_score":0.9998642,"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."}}