{"id":"W6962228394","doi":"10.15468/dl.vw8yeb","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; Set (abstract data type)","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":[0.001040851,0.001934125,0.001671581,0.005307574,0.0009442092,0.002542443,0.002738549,0.002036593,0.1589826],"category_scores_gemma":[0.006422665,0.0008942833,0.001171991,0.01055274,0.0004374097,0.002201417,0.002432944,0.00189851,0.213439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001506973,"about_ca_system_score_gemma":0.002282565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01952519,"about_ca_topic_score_gemma":0.03166512,"domain_scores_codex":[0.9988956,0.0001527741,0.0001496591,0.000377553,0.0002438826,0.0001804452],"domain_scores_gemma":[0.9973305,0.0007809956,0.000255676,0.0006754756,0.0006573281,0.0002999455],"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":[0.00003329643,0.00001199293,0.0004250861,0.0006338079,0.00001722315,0.00001639263,0.000023277,0.0001420967,0.0001298272,0.0003831257,0.996666,0.001517821],"study_design_scores_gemma":[0.0000828524,0.000009595564,0.002140771,0.0002224777,0.00001663759,0.00004008552,0.0000721196,0.0001550206,0.0001893917,0.0007731938,0.9962792,0.00001874529],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003946185,0.00002714696,0.00003716138,0.00003023364,0.0000100354,0.000004862914,0.9990541,0.0002889254,0.0005079489],"genre_scores_gemma":[0.000154928,0.00003354572,0.0001672427,0.00004040266,0.000003438601,0.00004088394,0.9990548,0.0001141654,0.0003905082],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8410174,"threshold_uncertainty_score":0.5318499,"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."}}