{"id":"W6962422579","doi":"10.15468/dl.w6cm3p","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); Data set; 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":[0.0009665415,0.001958325,0.001588126,0.004771475,0.000982022,0.002433494,0.002767202,0.002083767,0.1559697],"category_scores_gemma":[0.005716966,0.0009119787,0.001195295,0.009751237,0.000441202,0.002127145,0.002578062,0.001982405,0.2153542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001608103,"about_ca_system_score_gemma":0.002368783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02275377,"about_ca_topic_score_gemma":0.03643725,"domain_scores_codex":[0.9990059,0.0001299118,0.0001303687,0.0003357353,0.0002271677,0.0001708893],"domain_scores_gemma":[0.9976916,0.0006409978,0.0002219119,0.0005994003,0.0005709861,0.0002750779],"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":[0.00003026691,0.00001160895,0.000396432,0.0005525497,0.00001524125,0.00001579826,0.00002641196,0.0001311289,0.0001341658,0.0003955945,0.9968486,0.001442163],"study_design_scores_gemma":[0.00007402765,0.000008028022,0.001917045,0.000200966,0.00001473138,0.00003877027,0.00007551422,0.0001555383,0.000204997,0.0007175485,0.9965749,0.00001769346],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004102004,0.00002517052,0.00004363397,0.00003249356,0.00001134693,0.000005104347,0.9988984,0.0003564089,0.00058647],"genre_scores_gemma":[0.0001559579,0.00003122864,0.0001954463,0.00004119402,0.000003025354,0.00004103989,0.9989747,0.0001431557,0.0004143534],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8440303,"threshold_uncertainty_score":0.5217706,"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."}}