{"id":"W6962636900","doi":"10.15468/dl.yd6ssa","title":"Occurrence Download","year":2021,"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); 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":[0.0009536494,0.001983097,0.001646433,0.005133407,0.001004703,0.002788686,0.002940785,0.001899221,0.1868235],"category_scores_gemma":[0.006259088,0.001015441,0.001202865,0.01103249,0.0004785178,0.002410002,0.002724913,0.002175152,0.2624002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001677545,"about_ca_system_score_gemma":0.002457422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02263391,"about_ca_topic_score_gemma":0.03752959,"domain_scores_codex":[0.9989942,0.0001336338,0.0001301401,0.0003541179,0.000225471,0.0001624178],"domain_scores_gemma":[0.997566,0.0006843506,0.0002086196,0.0006479805,0.0006175251,0.0002755434],"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":[0.00002362662,0.000009645189,0.000332315,0.0005280087,0.00001341583,0.00001319776,0.0000251873,0.000119947,0.00009312537,0.0003794909,0.9968398,0.001622346],"study_design_scores_gemma":[0.00005195248,0.000005682753,0.001347638,0.0001712557,0.00001174073,0.00003090975,0.00006843503,0.0001262618,0.0001458735,0.0007188478,0.9973074,0.00001393015],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003294082,0.00002638218,0.00004527446,0.00003357038,0.00001102784,0.000004973311,0.9987859,0.0003759871,0.0006840469],"genre_scores_gemma":[0.000138055,0.00003701052,0.0002189045,0.00004054195,0.000003024777,0.00004259828,0.9987974,0.000164868,0.0005575292],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8131765,"threshold_uncertainty_score":0.6249868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878725496536469,"score_gpt":0.2292776369319846,"score_spread":0.2104903819666199,"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."}}