{"id":"W6924366274","doi":"10.15468/dl.k4mbp2","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); Reference data; 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":[0.0009047359,0.001927678,0.001548827,0.005062609,0.001021545,0.002645404,0.002901823,0.002145575,0.1640746],"category_scores_gemma":[0.006396879,0.0009348071,0.001175291,0.009770829,0.0004566314,0.002455518,0.002590572,0.002025864,0.2227769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001634774,"about_ca_system_score_gemma":0.002371763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02123657,"about_ca_topic_score_gemma":0.03496992,"domain_scores_codex":[0.9990101,0.0001377786,0.0001268177,0.0003554695,0.0002087912,0.0001610571],"domain_scores_gemma":[0.9976633,0.0006919444,0.0002191014,0.000603608,0.0005592365,0.0002629515],"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":[0.0000279595,0.00001064972,0.0003675643,0.000582676,0.00001411272,0.00001474353,0.00002402477,0.0001173948,0.00009577447,0.0003593427,0.9969463,0.001439418],"study_design_scores_gemma":[0.00007035276,0.000007919723,0.001607042,0.0002088481,0.00001447053,0.00003871316,0.00007687278,0.0001618696,0.0001640257,0.0007639371,0.9968696,0.000016373],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004363005,0.0000330461,0.00004703817,0.00004185134,0.00001255665,0.000005852217,0.9987333,0.0004211502,0.0006615047],"genre_scores_gemma":[0.0001774235,0.00004128158,0.0002081494,0.00005408516,0.000003706568,0.00004960805,0.9987758,0.0001682055,0.0005217865],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8359253,"threshold_uncertainty_score":0.5488843,"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."}}