{"id":"W6924432531","doi":"10.15468/dl.xcnc55","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); Set (abstract data type); Data set","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":[0.001113019,0.001871426,0.001624716,0.00540589,0.001029655,0.002815775,0.002848749,0.00203109,0.1713415],"category_scores_gemma":[0.006776651,0.0009749216,0.001143846,0.01072555,0.0004553724,0.002478044,0.002617438,0.002045154,0.2310748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001628487,"about_ca_system_score_gemma":0.002396894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02189895,"about_ca_topic_score_gemma":0.03663395,"domain_scores_codex":[0.9988294,0.0001618516,0.0001608881,0.0004039283,0.0002613754,0.0001825625],"domain_scores_gemma":[0.9971223,0.0008424105,0.0002716447,0.0007468912,0.0007008772,0.0003159068],"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":[0.00002657137,0.000009637326,0.000358507,0.0005141624,0.00001418394,0.00001431193,0.00002420105,0.0001115326,0.0000994531,0.0003999747,0.9971154,0.001311971],"study_design_scores_gemma":[0.00006431766,0.0000067036,0.001721806,0.0001908838,0.0000134413,0.00003508301,0.00007221986,0.0001308161,0.0001550903,0.0007512041,0.9968415,0.00001696497],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003473027,0.00002365597,0.00004528735,0.0000331665,0.0000109953,0.000004615619,0.9988949,0.0003342174,0.0006184452],"genre_scores_gemma":[0.0001464965,0.0000319965,0.0001926303,0.00004111422,0.000003350534,0.00003894533,0.9989241,0.0001549884,0.0004662806],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8286585,"threshold_uncertainty_score":0.5731944,"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."}}