{"id":"W6887125311","doi":"10.15468/dl.t5x6cf","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":[0.0008964404,0.002034297,0.00142171,0.004396432,0.0009166704,0.002304148,0.002551652,0.001899557,0.1501165],"category_scores_gemma":[0.005603512,0.0008713922,0.001201886,0.008817353,0.0004230909,0.002065557,0.002355848,0.001789502,0.2052224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001400512,"about_ca_system_score_gemma":0.002210086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02009757,"about_ca_topic_score_gemma":0.0336873,"domain_scores_codex":[0.9990164,0.0001351704,0.0001235035,0.0003593954,0.00020334,0.0001622001],"domain_scores_gemma":[0.9977157,0.0006623623,0.0002148406,0.0005940903,0.0005500781,0.0002629086],"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":[0.00003103464,0.00001221514,0.000404421,0.000465642,0.00001390051,0.00001355599,0.00001890521,0.0001334188,0.000113482,0.000318267,0.9970756,0.001399656],"study_design_scores_gemma":[0.0000870859,0.00001189377,0.002135228,0.0001776532,0.0000159975,0.00003957417,0.00006842716,0.0001902305,0.0002210034,0.0008310183,0.9962022,0.00001971108],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005194912,0.00002583696,0.00004122412,0.00003571684,0.00001302163,0.000005392714,0.9988391,0.0003768831,0.0006110169],"genre_scores_gemma":[0.0001716588,0.00003111772,0.000190529,0.00004660866,0.00000370432,0.00004189612,0.998886,0.0001382168,0.0004903051],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8498835,"threshold_uncertainty_score":0.5021898,"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."}}