{"id":"W6905775229","doi":"10.15468/dl.mcncx4","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); Data set; 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":[0.001061585,0.001975014,0.001593396,0.005233773,0.001006769,0.002600806,0.002770379,0.002070233,0.1609354],"category_scores_gemma":[0.006436105,0.0009432916,0.001113701,0.01043004,0.0004538325,0.00240157,0.002625762,0.002072349,0.226073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001622551,"about_ca_system_score_gemma":0.002461066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02082854,"about_ca_topic_score_gemma":0.03566403,"domain_scores_codex":[0.9988593,0.0001524376,0.0001450825,0.0003972812,0.0002613416,0.0001845839],"domain_scores_gemma":[0.9972995,0.0007469772,0.0002650451,0.0006982055,0.0006785329,0.0003118643],"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":[0.00002764515,0.00001032433,0.0003450942,0.0005052998,0.00001348987,0.00001358744,0.00002357533,0.0001148075,0.000112641,0.0004063647,0.997126,0.001301157],"study_design_scores_gemma":[0.00006638885,0.000007000056,0.001644308,0.0001790326,0.00001230739,0.0000320191,0.0000689005,0.0001233785,0.000178444,0.0007791888,0.9968925,0.00001656807],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003414343,0.00002237646,0.00004127397,0.00003222019,0.00001034502,0.000004676349,0.9988862,0.0003298118,0.000638917],"genre_scores_gemma":[0.0001474029,0.00002902508,0.0001895014,0.0000425675,0.000003173408,0.00003837227,0.9989318,0.0001496542,0.0004684819],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8390646,"threshold_uncertainty_score":0.5383825,"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."}}