{"id":"W6905974748","doi":"10.15468/dl.xgu7xm","title":"Occurrence Download","year":2020,"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; Vineyard; Matching (statistics); Range (aeronautics); 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":[0.001150686,0.001947684,0.001624976,0.006040647,0.0008987127,0.002542267,0.002819157,0.001917535,0.1910554],"category_scores_gemma":[0.006323877,0.0009890457,0.00113784,0.01140532,0.0004642008,0.002436963,0.002725649,0.001972283,0.2456383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001651076,"about_ca_system_score_gemma":0.00247052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02081591,"about_ca_topic_score_gemma":0.03297657,"domain_scores_codex":[0.9988689,0.0001506945,0.0001611295,0.0003702021,0.000260805,0.0001882579],"domain_scores_gemma":[0.9969718,0.0007908329,0.00029536,0.0007974902,0.000775778,0.0003687988],"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":[0.00003095841,0.0000107624,0.0003164927,0.000552175,0.00001375916,0.00001400598,0.00002130742,0.000111241,0.0001178438,0.0003831975,0.9969568,0.001471444],"study_design_scores_gemma":[0.00006477451,0.000007074898,0.001656675,0.0001774014,0.00001219238,0.00003132805,0.00005899115,0.000104138,0.0001695867,0.000644162,0.9970573,0.00001645001],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003042707,0.00002092914,0.0000347612,0.00002898759,0.000009651889,0.000004796686,0.9989974,0.0002896887,0.0005833986],"genre_scores_gemma":[0.0001262092,0.00003152269,0.0001733093,0.00004128499,0.000003228255,0.00003619002,0.9989889,0.0001327518,0.0004665505],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8089446,"threshold_uncertainty_score":0.6391439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02101450523743655,"score_gpt":0.226568981422551,"score_spread":0.2055544761851144,"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."}}