{"id":"W6905813584","doi":"10.15468/dl.m7p29m","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); Alien; UniProt","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":[0.0009498115,0.001960436,0.001571472,0.004931886,0.001054674,0.002583968,0.002690057,0.002143757,0.1494062],"category_scores_gemma":[0.00596132,0.000889048,0.00129783,0.009598617,0.0004533475,0.00252016,0.00256801,0.002062095,0.2272273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001635723,"about_ca_system_score_gemma":0.002402444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02342794,"about_ca_topic_score_gemma":0.03864184,"domain_scores_codex":[0.9988722,0.0001597641,0.0001387744,0.0004019188,0.0002440518,0.0001831939],"domain_scores_gemma":[0.997371,0.0007495849,0.0002243481,0.0006962242,0.0006723687,0.0002865141],"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":[0.00002845658,0.00001232156,0.0003835905,0.0005076355,0.0000131052,0.00001470134,0.00002324714,0.0001124621,0.000109323,0.0003466695,0.9970599,0.001388573],"study_design_scores_gemma":[0.00006479135,0.000009066714,0.002008701,0.0001944238,0.00001378522,0.0000369208,0.00008387383,0.0001534058,0.0001844105,0.0007292727,0.9965036,0.00001781501],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004925321,0.00003093401,0.0000439879,0.0000450127,0.00001417723,0.000005994458,0.9987079,0.0004027326,0.0007000797],"genre_scores_gemma":[0.0001609012,0.00003543823,0.0001868635,0.00004804982,0.000003875477,0.00004027617,0.9988928,0.0001332083,0.0004986123],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8505938,"threshold_uncertainty_score":0.4998134,"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."}}