{"id":"W6887167760","doi":"10.15468/dl.o2rtsk","title":"Occurrence Download","year":2019,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Herbarium; Download; Matching (statistics); Range (aeronautics)","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":[0.001091425,0.002327251,0.002025091,0.006067222,0.001361854,0.003866606,0.003521582,0.002465829,0.2331996],"category_scores_gemma":[0.009206603,0.001146393,0.001691622,0.01098351,0.0004596854,0.003869196,0.003678797,0.002375896,0.341169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00183419,"about_ca_system_score_gemma":0.002651601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0192884,"about_ca_topic_score_gemma":0.03227461,"domain_scores_codex":[0.998492,0.0001824598,0.0001978279,0.0005601477,0.0003398074,0.0002276957],"domain_scores_gemma":[0.9967185,0.0009209468,0.0002514274,0.0008417743,0.0009440848,0.0003232066],"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":[0.00003856178,0.00001059575,0.0003720411,0.0006443875,0.00001619104,0.00002023884,0.0000276,0.0001041939,0.0001077452,0.0003945057,0.9959297,0.002334237],"study_design_scores_gemma":[0.00004707821,0.000007979582,0.001053814,0.0001873673,0.00001319961,0.00004044849,0.00007609434,0.0001546128,0.000170715,0.0008858165,0.9973448,0.00001804956],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004888163,0.00005211498,0.00009553206,0.00006052418,0.0000227839,0.000007932762,0.997468,0.001127853,0.001116438],"genre_scores_gemma":[0.0002158642,0.00006495538,0.0003763381,0.000085678,0.000006931124,0.00005898978,0.9978218,0.0004606358,0.0009087423],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7668004,"threshold_uncertainty_score":0.7801303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0225412765836933,"score_gpt":0.2352696232258381,"score_spread":0.2127283466421448,"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."}}