{"id":"W6961835754","doi":"10.15468/dl.3m24hj","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); Data set; Set (abstract data type)","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":[0.00105339,0.002085846,0.001671702,0.00552678,0.0009822054,0.002737056,0.002861414,0.00209944,0.1369575],"category_scores_gemma":[0.005857614,0.0008996063,0.001190709,0.009860223,0.0004638289,0.002201084,0.002601793,0.002002751,0.1930564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001672704,"about_ca_system_score_gemma":0.002344193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01904977,"about_ca_topic_score_gemma":0.03393802,"domain_scores_codex":[0.998928,0.0001512709,0.0001441524,0.0003647207,0.0002381983,0.0001735962],"domain_scores_gemma":[0.9976401,0.0006731084,0.0002346276,0.0005974627,0.0005573024,0.0002973237],"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":[0.00004159357,0.00001451792,0.0004736359,0.0006880945,0.00002141662,0.0000203968,0.00002590559,0.0001620899,0.000153331,0.0004572532,0.9964088,0.001533152],"study_design_scores_gemma":[0.00009030832,0.000008951401,0.00185874,0.0002056077,0.00001656096,0.00004182253,0.00006517281,0.0001685771,0.0002125942,0.0007972855,0.9965163,0.00001791176],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004875098,0.0000308473,0.00003922252,0.00003269872,0.0000101936,0.000005503293,0.9988706,0.0003626396,0.0005996667],"genre_scores_gemma":[0.0001712206,0.00003610483,0.0001834947,0.00004159447,0.000003191831,0.00003748791,0.9989879,0.0001349083,0.0004041512],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8630425,"threshold_uncertainty_score":0.4581684,"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."}}