{"id":"W6929606685","doi":"10.5066/p134rikg","title":"Tracking Data for Black Brant (Branta bernicla nigricans)","year":2024,"lang":"en","type":"dataset","venue":"USGS DOI Tool Production Environment","topic":"Vitamin C and Antioxidants Research","field":"Nursing","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tracking (education); Goose; Anatidae; Waterfowl; Branta","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":[0.0005498011,0.0008274406,0.0006237407,0.00159867,0.0005388257,0.000725006,0.001206701,0.0007775212,0.03258812],"category_scores_gemma":[0.00276939,0.0003508407,0.0005238565,0.00338017,0.0001824682,0.0005461328,0.0009318912,0.0006261957,0.02881897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007751524,"about_ca_system_score_gemma":0.001395088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07886795,"about_ca_topic_score_gemma":0.1478518,"domain_scores_codex":[0.9995674,0.0000575991,0.00005475109,0.0001354878,0.0001162099,0.00006863246],"domain_scores_gemma":[0.9985188,0.0002769072,0.0002473621,0.0002486646,0.0005644266,0.0001439269],"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":[0.00009843778,0.00003378021,0.01023018,0.0005638953,0.00004576311,0.00003930558,0.00007884717,0.0002776111,0.000269246,0.0003863283,0.9831791,0.004797434],"study_design_scores_gemma":[0.0001453316,0.00002989654,0.04951896,0.0003519887,0.000054311,0.00006894232,0.0003109165,0.0003321439,0.0004587137,0.0003975905,0.9482981,0.0000330834],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005388347,0.00002978507,0.00004519503,0.00002671975,0.000009562556,0.000007127301,0.9986638,0.00006744851,0.0006115619],"genre_scores_gemma":[0.0009537437,0.00003429696,0.0002536908,0.00002782951,0.000002739749,0.0000611319,0.9974986,0.00002478212,0.001143269],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07886795,"threshold_uncertainty_score":0.1568177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05529357898762191,"score_gpt":0.3220461154522303,"score_spread":0.2667525364646084,"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."}}