{"id":"W6962447611","doi":"10.15468/dl.qke96k","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); Alien; Range (aeronautics); Key (lock)","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":[0.0010785,0.001971192,0.001651257,0.005581227,0.001026058,0.002792102,0.002858899,0.002197308,0.158072],"category_scores_gemma":[0.007057577,0.0009260667,0.001287411,0.01052725,0.0004796789,0.002379925,0.00268483,0.002100123,0.2186408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001670691,"about_ca_system_score_gemma":0.002503071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02023762,"about_ca_topic_score_gemma":0.03083998,"domain_scores_codex":[0.9988679,0.0001587324,0.0001537193,0.0003980774,0.0002414342,0.0001801468],"domain_scores_gemma":[0.9972286,0.0008541244,0.0002569693,0.0007091516,0.0006526852,0.0002984713],"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":[0.00003233712,0.00001276198,0.0004243312,0.0007083729,0.00001660449,0.00001766076,0.00002775469,0.0001539266,0.0001306677,0.00041267,0.9963871,0.001675843],"study_design_scores_gemma":[0.0000762781,0.000009892537,0.001847902,0.0002495733,0.00001614442,0.00003832597,0.00009023098,0.0001724624,0.0001850463,0.0008118686,0.9964827,0.00001944349],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004088158,0.0000296457,0.00004265465,0.00004031127,0.00001347786,0.000005945521,0.9989266,0.0003571791,0.0005432508],"genre_scores_gemma":[0.0001615253,0.00004196349,0.0002124708,0.00004967515,0.000003851243,0.00005406476,0.998861,0.0001416021,0.0004738744],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8419281,"threshold_uncertainty_score":0.5288033,"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."}}