{"id":"W6962648654","doi":"10.15468/dl.t7658t","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); Listing (finance); 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":[],"consensus_categories":[],"category_scores_codex":[0.0009713863,0.001995408,0.001620333,0.005106377,0.001073758,0.002926016,0.002933435,0.001901536,0.2248743],"category_scores_gemma":[0.006311292,0.001082842,0.001183248,0.009756772,0.0004613633,0.002561971,0.002980168,0.002041513,0.281042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00191616,"about_ca_system_score_gemma":0.002746564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03038007,"about_ca_topic_score_gemma":0.04864224,"domain_scores_codex":[0.9990897,0.0001035964,0.00010675,0.0003022288,0.0002271287,0.0001706434],"domain_scores_gemma":[0.9977151,0.0006165375,0.0001937959,0.0005721027,0.0006366541,0.0002658899],"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":[0.0000220742,0.000007967739,0.0002758145,0.0004732641,0.00001119945,0.0000123492,0.00002287853,0.00007892343,0.0000853238,0.0003662352,0.9972597,0.001384238],"study_design_scores_gemma":[0.00005667381,0.000005113023,0.001348339,0.0001920977,0.00001139628,0.00003052821,0.00006382042,0.0001029339,0.0001616442,0.0006942986,0.997318,0.00001521528],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002654488,0.00002108908,0.00004505693,0.00003172833,0.0000101128,0.0000052341,0.9985504,0.0004754188,0.0008343565],"genre_scores_gemma":[0.0001573945,0.000039803,0.000252818,0.00005124883,0.000003505861,0.00005120652,0.9985046,0.0002895182,0.0006499512],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2248743,"threshold_uncertainty_score":0.7522796,"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."}}