{"id":"W6887023685","doi":"10.15468/dl.kwvky8","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); Software; Process (computing); Field (mathematics)","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":[0.0009428271,0.001957448,0.001501337,0.00463496,0.0009310637,0.002324612,0.002743224,0.001960795,0.1394149],"category_scores_gemma":[0.005428681,0.0009383181,0.001162231,0.009625053,0.0004368882,0.002109497,0.002378901,0.001957263,0.1852836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001618303,"about_ca_system_score_gemma":0.002306028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0257465,"about_ca_topic_score_gemma":0.03914193,"domain_scores_codex":[0.9990619,0.0001230962,0.0001222093,0.0003197488,0.0002143112,0.000158867],"domain_scores_gemma":[0.9978522,0.0006116068,0.0002067592,0.0005688532,0.0005130913,0.0002476016],"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":[0.00002998651,0.00001204151,0.0004157851,0.0005364537,0.00001596739,0.00001661204,0.00002847168,0.0001550795,0.0001382012,0.0004294354,0.9967017,0.001520317],"study_design_scores_gemma":[0.00007629754,0.000008047601,0.0020831,0.000186447,0.00001496856,0.00003974883,0.00008249842,0.0001824993,0.0002196528,0.0007475559,0.9963404,0.00001882261],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004754926,0.00002400335,0.00004966193,0.00003319014,0.00001093636,0.000005173357,0.9988322,0.000416333,0.0005810671],"genre_scores_gemma":[0.0001726552,0.00002998503,0.000206936,0.00003814073,0.000002767341,0.00004010012,0.9989659,0.0001505207,0.0003929737],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8605851,"threshold_uncertainty_score":0.4663894,"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."}}