{"id":"W6961959987","doi":"10.15468/dl.exf7t2","title":"Occurrence Download","year":2024,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Order (exchange)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009557324,0.002278387,0.001796434,0.005455059,0.001173881,0.002879176,0.003116538,0.002409382,0.1664362],"category_scores_gemma":[0.006179226,0.0009788511,0.001374649,0.01065763,0.0004399253,0.00265846,0.002617211,0.002132637,0.2523664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00203194,"about_ca_system_score_gemma":0.002688571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02568416,"about_ca_topic_score_gemma":0.0457931,"domain_scores_codex":[0.9987821,0.0001594125,0.0001492083,0.0004345979,0.0002819776,0.0001927545],"domain_scores_gemma":[0.9975019,0.0006820586,0.0002112337,0.000605989,0.0007142246,0.0002846286],"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":[0.00003113053,0.00001089717,0.0003690838,0.0005195924,0.00001588675,0.00001574175,0.00002024466,0.0001387238,0.0001081012,0.000386325,0.9967892,0.001595203],"study_design_scores_gemma":[0.00006696893,0.000007424674,0.001442857,0.0001690625,0.0000133777,0.00003761331,0.00006173427,0.0001855301,0.0001787547,0.0007642132,0.9970553,0.0000172986],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004296863,0.00003717739,0.00005786161,0.00003816927,0.00001262694,0.000005035752,0.9984984,0.0005350675,0.0007726569],"genre_scores_gemma":[0.0001522556,0.0000383391,0.0002217185,0.00004414042,0.000003462766,0.00003479388,0.998814,0.0001731562,0.0005181862],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8335637,"threshold_uncertainty_score":0.5567847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01691697070080545,"score_gpt":0.2071874384660843,"score_spread":0.1902704677652789,"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."}}