{"id":"W6943491845","doi":"10.15468/dl.qs6y7k","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); State (computer science); Confidentiality","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":[0.0009872415,0.00205301,0.001572908,0.004886488,0.0009971072,0.002539447,0.002856219,0.002113012,0.1551587],"category_scores_gemma":[0.005676719,0.0008889959,0.001139352,0.009719375,0.0004644191,0.002387235,0.002510262,0.002074174,0.2163174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001641529,"about_ca_system_score_gemma":0.00222588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02024782,"about_ca_topic_score_gemma":0.03325747,"domain_scores_codex":[0.998997,0.0001391939,0.0001230626,0.0003549589,0.0002194665,0.0001663023],"domain_scores_gemma":[0.9976521,0.0006748722,0.0002281652,0.0006299881,0.0005388022,0.0002761794],"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":[0.00002848281,0.00001152826,0.0003536064,0.0005071519,0.00001412548,0.00001432733,0.00002222962,0.0001366071,0.0001148104,0.0003826085,0.9970591,0.001355515],"study_design_scores_gemma":[0.00007263443,0.000008038192,0.001714869,0.0001812849,0.00001371866,0.00003652379,0.00006959292,0.0001644315,0.0001931438,0.0007923733,0.996736,0.00001737669],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004218254,0.00002696579,0.00004585278,0.00003515769,0.00001256829,0.00000492423,0.9988291,0.0003633174,0.0006400658],"genre_scores_gemma":[0.000166272,0.0000319638,0.000192329,0.00004336059,0.000003581905,0.00004042469,0.998921,0.0001435565,0.0004574374],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8448413,"threshold_uncertainty_score":0.5190575,"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."}}