{"id":"W6962318446","doi":"10.15468/dl.wac86n","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); 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":[0.00113562,0.001971121,0.001678424,0.005275345,0.001050329,0.002759577,0.002984647,0.002144587,0.1632025],"category_scores_gemma":[0.006530105,0.0009780467,0.001188407,0.01034205,0.0004660706,0.002426956,0.002642564,0.002059729,0.2350375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001636245,"about_ca_system_score_gemma":0.002435463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02132067,"about_ca_topic_score_gemma":0.03519021,"domain_scores_codex":[0.9988145,0.0001642272,0.0001624966,0.0004119718,0.000259504,0.0001874158],"domain_scores_gemma":[0.9972537,0.0007975749,0.0002570875,0.0007063219,0.0006784658,0.0003068285],"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":[0.00002738165,0.00001079715,0.000355992,0.0005294937,0.0000151721,0.00001442073,0.00002331761,0.0001150799,0.0001114954,0.0003722855,0.9970803,0.001344302],"study_design_scores_gemma":[0.00006703678,0.00000750252,0.001699877,0.0001993196,0.00001453461,0.00003597677,0.00007375494,0.0001388446,0.0001782858,0.0007294616,0.9968374,0.00001792095],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003493937,0.00002525414,0.00004267475,0.00003338539,0.00001127314,0.000004716189,0.9989437,0.0003251858,0.0005788937],"genre_scores_gemma":[0.0001359994,0.00003144431,0.0001791832,0.00003974414,0.00000311331,0.00003700003,0.9990238,0.0001328161,0.0004168373],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8367975,"threshold_uncertainty_score":0.5459667,"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."}}