{"id":"W6905809883","doi":"10.15468/dl.ras7dz","title":"Occurrence Download","year":2022,"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); Alien","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":[0.0009765849,0.001939315,0.001605991,0.004804515,0.001027199,0.002706265,0.002739697,0.002031921,0.179757],"category_scores_gemma":[0.006370995,0.0009148511,0.00125738,0.009158223,0.0004299523,0.002570376,0.002637308,0.002085579,0.2474999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001513663,"about_ca_system_score_gemma":0.002285071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01959953,"about_ca_topic_score_gemma":0.03189521,"domain_scores_codex":[0.9989756,0.0001485541,0.000124602,0.0003730918,0.0002152527,0.0001628564],"domain_scores_gemma":[0.997419,0.0007751932,0.0002127001,0.0006856797,0.0006321134,0.0002753106],"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":[0.00002676264,0.00001107687,0.0003349605,0.000532961,0.00001319395,0.00001359614,0.00002246182,0.0001117132,0.0001026237,0.0003556711,0.9970707,0.001404197],"study_design_scores_gemma":[0.00006615525,0.000008258779,0.001612182,0.0002052957,0.00001366237,0.00003182696,0.00007387321,0.000148316,0.0001720084,0.0008317709,0.9968193,0.00001741092],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003839005,0.00002795843,0.00004678835,0.00004140931,0.00001329143,0.000006036455,0.9987258,0.0004187672,0.0006814644],"genre_scores_gemma":[0.0001572251,0.00003803106,0.0002158365,0.00005308854,0.000003965372,0.00005054597,0.9987471,0.0001822393,0.0005518086],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8202431,"threshold_uncertainty_score":0.6013469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}