{"id":"W6905848501","doi":"10.15468/dl.p5ppvf","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); Column (typography); 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":[0.0009788405,0.001910333,0.001624543,0.005119144,0.0009810419,0.00267071,0.002804863,0.001989531,0.1488519],"category_scores_gemma":[0.005861325,0.0008897192,0.001116377,0.01062306,0.000419142,0.002218738,0.002480302,0.001899483,0.2034547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001680641,"about_ca_system_score_gemma":0.002513358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02680882,"about_ca_topic_score_gemma":0.04410452,"domain_scores_codex":[0.9989807,0.000133555,0.000131034,0.0003513701,0.0002334491,0.0001699036],"domain_scores_gemma":[0.9976254,0.0006614145,0.0002290455,0.0006089219,0.0006033625,0.0002718468],"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":[0.00003004101,0.00001080588,0.0004036736,0.0005812123,0.00001596536,0.00001554244,0.00002506961,0.0001347743,0.0001251043,0.0004184293,0.9967654,0.00147403],"study_design_scores_gemma":[0.00006443411,0.000007256225,0.001858029,0.0001920106,0.00001488839,0.0000350495,0.00007226967,0.0001420449,0.0001877322,0.0007211672,0.9966875,0.00001768693],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003897623,0.0000260176,0.00004300621,0.00003048079,0.000009565885,0.000004534629,0.99892,0.0003383393,0.0005890761],"genre_scores_gemma":[0.0001556673,0.000032735,0.0001845668,0.00003780845,0.000002747523,0.00003704536,0.9989769,0.0001322743,0.0004401885],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8511481,"threshold_uncertainty_score":0.4979593,"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."}}