{"id":"W6887091841","doi":"10.15468/dl.mdw6d8","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":"Matching (statistics); Download; Range (aeronautics); Order (exchange); 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":[0.001021378,0.001991104,0.001613748,0.004769596,0.001033367,0.002616,0.002868287,0.002175333,0.1496674],"category_scores_gemma":[0.006273121,0.0009302731,0.00120859,0.009385649,0.0004505468,0.002350956,0.002561015,0.002077735,0.2106259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001749217,"about_ca_system_score_gemma":0.002424799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02411125,"about_ca_topic_score_gemma":0.038103,"domain_scores_codex":[0.9989364,0.0001433608,0.0001358072,0.0003672996,0.0002456913,0.0001716028],"domain_scores_gemma":[0.9975156,0.0007183964,0.0002299559,0.0006490508,0.0006118512,0.0002752668],"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":[0.00003047727,0.00001123874,0.0003801587,0.000532447,0.0000150072,0.00001617543,0.00002555767,0.0001310172,0.0001173643,0.0004312169,0.9969231,0.001386203],"study_design_scores_gemma":[0.00007445022,0.000007609653,0.001717917,0.0001915978,0.00001381387,0.000038483,0.00007202267,0.0001612864,0.000190536,0.000821197,0.9966933,0.00001780875],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004149285,0.00002737487,0.00005160742,0.00003796734,0.00001148248,0.00000533763,0.9987431,0.0004465249,0.0006351839],"genre_scores_gemma":[0.00016536,0.00003184555,0.0002118962,0.00004643848,0.000003109294,0.00004151621,0.9989091,0.0001710661,0.0004196719],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8503326,"threshold_uncertainty_score":0.5006872,"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."}}