{"id":"W6905857470","doi":"10.15468/dl.wkng89","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":"Matching (statistics); Download; Alien; Range (aeronautics); State (computer science)","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":[0.0009128477,0.001985552,0.001481979,0.004721174,0.0009624261,0.002420333,0.002588585,0.001869283,0.1672852],"category_scores_gemma":[0.005842556,0.0008834494,0.001187716,0.009387596,0.0004361439,0.002157346,0.002483134,0.001786554,0.2287124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001406627,"about_ca_system_score_gemma":0.002229663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01974148,"about_ca_topic_score_gemma":0.0320459,"domain_scores_codex":[0.998992,0.0001368219,0.0001261258,0.0003656517,0.0002064701,0.0001728287],"domain_scores_gemma":[0.9976614,0.0006588552,0.0002185148,0.0006029994,0.000588296,0.0002699721],"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":[0.00003129102,0.00001133421,0.0003979193,0.000496587,0.00001322507,0.00001350919,0.00002001121,0.0001250821,0.0001172122,0.0003361052,0.9969801,0.001457538],"study_design_scores_gemma":[0.00007716702,0.00001091482,0.001930599,0.0001856563,0.00001489856,0.00003636071,0.00006911642,0.000159125,0.0001955651,0.0008051379,0.9964971,0.00001835041],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004697514,0.00002582373,0.00004083996,0.0000334691,0.00001313895,0.000005101936,0.9988219,0.0003722071,0.0006404315],"genre_scores_gemma":[0.000163413,0.00003255422,0.0001888963,0.00004575701,0.000003813904,0.00004113176,0.9988849,0.0001461313,0.0004935523],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8327148,"threshold_uncertainty_score":0.5596248,"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."}}