{"id":"W6905768880","doi":"10.15468/dl.t9fbqt","title":"Occurrence Download","year":2023,"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":[0.0008645905,0.001782185,0.001405434,0.004862076,0.0009574745,0.002501663,0.002569517,0.001755639,0.1635116],"category_scores_gemma":[0.005624227,0.0008730732,0.001098766,0.009860042,0.0004052047,0.002260013,0.002380183,0.001831919,0.2209299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001637322,"about_ca_system_score_gemma":0.002332844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02839167,"about_ca_topic_score_gemma":0.04649248,"domain_scores_codex":[0.999054,0.0001263144,0.000120182,0.0003205077,0.0002247059,0.0001543113],"domain_scores_gemma":[0.9976779,0.0006416608,0.0002039897,0.0005949182,0.0006381992,0.0002434499],"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":[0.00002398293,0.00000949791,0.0003830598,0.0004323571,0.00001265053,0.00001451954,0.00002380235,0.0001152684,0.00009941671,0.0003699088,0.9970081,0.001507429],"study_design_scores_gemma":[0.0000552398,0.000006580041,0.001785003,0.0001666922,0.00001257459,0.00003777802,0.0000825173,0.0001565959,0.000190352,0.0007681628,0.9967214,0.0000170706],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004488769,0.00002480535,0.00005731818,0.00003694449,0.00001113922,0.000005252877,0.9985494,0.0004793678,0.0007907948],"genre_scores_gemma":[0.0001910253,0.00003476707,0.0002412002,0.00004229544,0.000003413331,0.00004098934,0.9986774,0.0001937902,0.0005750801],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8364884,"threshold_uncertainty_score":0.5470008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}