{"id":"W6924680522","doi":"10.15468/dl.kdsvb8","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); Real world data","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":[0.0008550456,0.001771151,0.001427214,0.004439104,0.0009382055,0.002426623,0.00255503,0.001824695,0.1657626],"category_scores_gemma":[0.005665036,0.0008640618,0.001243312,0.009433326,0.000392859,0.002346911,0.002476955,0.001930805,0.2378885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001486143,"about_ca_system_score_gemma":0.002181785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0205988,"about_ca_topic_score_gemma":0.03378421,"domain_scores_codex":[0.999055,0.0001221136,0.000123522,0.0003290528,0.0002195418,0.0001509145],"domain_scores_gemma":[0.9977964,0.0005958443,0.0001880174,0.0005946622,0.0005850013,0.0002400687],"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":[0.00002852027,0.00001023709,0.0003888451,0.0004868227,0.00001366095,0.00001347291,0.0000212518,0.0001345236,0.0001032108,0.0003519435,0.9966105,0.001836931],"study_design_scores_gemma":[0.00006320621,0.000007557658,0.001729484,0.0001722784,0.00001214033,0.00003261477,0.0000697271,0.0001772895,0.0001703946,0.0008195647,0.99673,0.00001572322],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004203707,0.00002693577,0.00005548862,0.00003794352,0.00001326286,0.000005636483,0.9985964,0.0004795301,0.0007428085],"genre_scores_gemma":[0.0001735313,0.00003722645,0.0002544163,0.00004803789,0.000003968009,0.00004371302,0.9986908,0.0001789004,0.0005693855],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8342374,"threshold_uncertainty_score":0.5545312,"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."}}