{"id":"W6905893713","doi":"10.15468/dl.yak942","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); 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":[0.0009786871,0.00196709,0.00156253,0.004997426,0.0009564014,0.002538346,0.002754869,0.001963675,0.1623274],"category_scores_gemma":[0.005844095,0.0008919563,0.001171582,0.0101096,0.0004567019,0.00220127,0.002719501,0.001902337,0.2376272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001625515,"about_ca_system_score_gemma":0.002442893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02250459,"about_ca_topic_score_gemma":0.03713249,"domain_scores_codex":[0.9989541,0.0001410886,0.0001340764,0.0003485761,0.0002427109,0.0001795127],"domain_scores_gemma":[0.9975436,0.0006288179,0.0002285764,0.0006665363,0.0006388112,0.00029359],"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":[0.00003097392,0.00001030243,0.0003255186,0.0005355051,0.00001458728,0.0000136635,0.0000220418,0.0001103899,0.0001195531,0.0003785117,0.9970123,0.001426793],"study_design_scores_gemma":[0.00006837436,0.000006934471,0.001593034,0.0001715345,0.00001254481,0.00003029254,0.00005700554,0.0001129658,0.0001867641,0.0007049601,0.9970401,0.00001543361],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000036086,0.00002517258,0.00003726705,0.00003087741,0.000009681462,0.00000505817,0.9988725,0.0003413274,0.0006419841],"genre_scores_gemma":[0.0001434445,0.00003271583,0.0001643891,0.00004223037,0.000003195387,0.0000376331,0.9990035,0.0001386701,0.0004342565],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8376726,"threshold_uncertainty_score":0.5430393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}