{"id":"W6887347030","doi":"10.15468/dl.wctu8e","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); Order (exchange); Column (typography)","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":[0.001103602,0.001950971,0.001705128,0.005088585,0.00107835,0.00275523,0.002996153,0.002105261,0.1758111],"category_scores_gemma":[0.006452497,0.000993866,0.001144788,0.01020613,0.0004648399,0.002431676,0.002774718,0.002138086,0.2378505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001758681,"about_ca_system_score_gemma":0.00276228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02525326,"about_ca_topic_score_gemma":0.04332945,"domain_scores_codex":[0.9988588,0.0001527902,0.000146306,0.0003997071,0.000256726,0.0001856006],"domain_scores_gemma":[0.9971552,0.0007952579,0.0002674283,0.0007297899,0.0007317088,0.0003204958],"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":[0.00002640115,0.00001027382,0.0003190507,0.0005350587,0.00001390177,0.00001384499,0.00002612387,0.0001022741,0.0001125118,0.0004236073,0.9971573,0.001259588],"study_design_scores_gemma":[0.00006344634,0.000006209958,0.001565434,0.0001831568,0.00001305167,0.00003149454,0.00006963162,0.0001073146,0.0001783842,0.0007878504,0.9969764,0.00001757912],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002969393,0.00002014766,0.00004221747,0.00003057714,0.000009337729,0.000004683186,0.9989156,0.0003316936,0.0006160075],"genre_scores_gemma":[0.0001362935,0.00002911466,0.0002014399,0.00004109975,0.000002798164,0.00003991065,0.9989208,0.0001619104,0.0004666937],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8241889,"threshold_uncertainty_score":0.5881468,"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."}}