{"id":"W6905850883","doi":"10.15468/dl.mzc74b","title":"Occurrence Download","year":2023,"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); Set (abstract data type); Data set","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":[0.0009669201,0.002026339,0.001579692,0.004952717,0.001063862,0.002438219,0.002839605,0.002168065,0.1453935],"category_scores_gemma":[0.005619791,0.0009149772,0.001259292,0.009978363,0.0004484233,0.002160998,0.002517102,0.00200954,0.2095954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001658309,"about_ca_system_score_gemma":0.002472172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02474598,"about_ca_topic_score_gemma":0.03912373,"domain_scores_codex":[0.9989533,0.0001361911,0.0001355446,0.0003546927,0.0002451006,0.0001751381],"domain_scores_gemma":[0.9976889,0.0006386282,0.0002122148,0.0006126716,0.000575796,0.0002718696],"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":[0.00003097807,0.0000124115,0.0004021335,0.0005122283,0.00001484366,0.0000167085,0.00002628242,0.0001324358,0.0001409649,0.0003962898,0.9968405,0.001474282],"study_design_scores_gemma":[0.0000739036,0.000008521894,0.001993192,0.0001902852,0.00001451334,0.00004157411,0.0000780597,0.0001772133,0.0002228911,0.0007656022,0.9964156,0.00001865333],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004721908,0.00002714231,0.00004894869,0.00003655286,0.00001202588,0.000005506045,0.9987572,0.0004186227,0.0006468339],"genre_scores_gemma":[0.0001580876,0.00003056714,0.0001997856,0.00004262814,0.000002995372,0.00003946032,0.9989573,0.0001441818,0.0004249705],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8546065,"threshold_uncertainty_score":0.4863898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}