{"id":"W6902958735","doi":"10.7939/dvn/pd2xcx","title":"Duck nest data from Bashaw and Viking, Alberta, from 2015 - 2017","year":2020,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Nest (protein structural motif); Predator; Predation; Habitat; Data collection","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005238511,0.0009883732,0.0005665664,0.003016442,0.0009282123,0.001451068,0.001501799,0.0005284257,0.01201456],"category_scores_gemma":[0.00179823,0.000433264,0.0004081235,0.006233389,0.0002602735,0.0003798507,0.0006121825,0.0006794627,0.008631454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0049902,"about_ca_system_score_gemma":0.006989444,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8855246,"about_ca_topic_score_gemma":0.95623,"domain_scores_codex":[0.9995302,0.00001808175,0.00003614886,0.0001180705,0.0001982305,0.00009931646],"domain_scores_gemma":[0.9982954,0.0001294076,0.0002501174,0.0001442058,0.0009283804,0.0002525541],"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":[0.0002047877,0.00004306747,0.05756011,0.0008113412,0.0001196959,0.0001122929,0.0002203218,0.0008664537,0.000347593,0.0005870846,0.9292618,0.009865409],"study_design_scores_gemma":[0.0001640352,0.00002933691,0.400253,0.0006458758,0.0001197848,0.000138032,0.0007423538,0.0006854352,0.0005258585,0.0003300094,0.5963099,0.00005633914],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002654818,0.0002435064,0.00004482657,0.00003126229,0.00001453386,0.00001019042,0.9956211,0.00006423407,0.001315459],"genre_scores_gemma":[0.005394891,0.0001563718,0.0002630902,0.0000350563,0.000005609841,0.00003917744,0.9918434,0.00002050555,0.002241915],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1144754,"threshold_uncertainty_score":0.2302992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06392606815183988,"score_gpt":0.3133249197351148,"score_spread":0.2493988515832749,"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."}}