{"id":"W6924565148","doi":"10.15468/dl.ppm3sx","title":"Occurrence Download","year":2020,"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)","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":[0.0009699012,0.002060861,0.001501107,0.005424818,0.001026456,0.002671057,0.002916288,0.001974354,0.2037513],"category_scores_gemma":[0.006424878,0.0009780476,0.001186344,0.01032621,0.0004318451,0.002598832,0.002710113,0.002015715,0.2873006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001766611,"about_ca_system_score_gemma":0.002548041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02543792,"about_ca_topic_score_gemma":0.04083823,"domain_scores_codex":[0.9989225,0.0001388065,0.0001313976,0.0003653388,0.0002622217,0.0001798801],"domain_scores_gemma":[0.9974215,0.0006979089,0.0002116393,0.0006390565,0.0007296476,0.0003001374],"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":[0.00002352997,0.000008879112,0.000244359,0.0003846286,0.000009360288,0.00001076367,0.00001877232,0.00008733226,0.00007432193,0.000300448,0.9974573,0.001380291],"study_design_scores_gemma":[0.00005987534,0.000006763416,0.001361567,0.0001601565,0.00001071443,0.00002913827,0.00006813443,0.0001326681,0.0001700098,0.0007271199,0.9972579,0.00001584299],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003376954,0.00002132951,0.00004840171,0.00003601582,0.00001137376,0.000005303611,0.9985569,0.0004671528,0.0008196633],"genre_scores_gemma":[0.0001463843,0.00003272668,0.0002144563,0.00004328838,0.000003680161,0.00004403587,0.9986564,0.0002073139,0.000651776],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7962487,"threshold_uncertainty_score":0.6816161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02101450523743655,"score_gpt":0.226568981422551,"score_spread":0.2055544761851144,"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."}}