{"id":"W6943339340","doi":"10.15468/dl.sp5ku3","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); Alien","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":[0.001034052,0.001936687,0.001568387,0.004869598,0.0009599695,0.002459239,0.002711082,0.002114416,0.1379734],"category_scores_gemma":[0.005705491,0.0008588212,0.001208089,0.009389591,0.0004413575,0.002141219,0.002364824,0.00198082,0.2031785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001587343,"about_ca_system_score_gemma":0.002307133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02212631,"about_ca_topic_score_gemma":0.03635325,"domain_scores_codex":[0.9989377,0.0001513942,0.0001351044,0.0003668118,0.0002340606,0.0001748194],"domain_scores_gemma":[0.9975333,0.0007252002,0.0002316215,0.0006427534,0.000590716,0.0002762561],"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":[0.00003032202,0.00001280496,0.0004184181,0.0005169098,0.00001560789,0.0000149689,0.00002228965,0.0001395756,0.0001210294,0.0003560226,0.9969563,0.001395595],"study_design_scores_gemma":[0.0000778538,0.000009801053,0.002254323,0.000202443,0.00001607911,0.00003983147,0.00007765055,0.0001708162,0.0002113599,0.000787491,0.9961331,0.00001922455],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004588901,0.00002675197,0.00003993748,0.00003447716,0.00001133621,0.000004942202,0.9989607,0.0003158862,0.0005600704],"genre_scores_gemma":[0.0001594279,0.00003018831,0.0001706552,0.00003972461,0.000003242824,0.00003864736,0.9990302,0.0001115355,0.0004163743],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8620266,"threshold_uncertainty_score":0.461567,"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."}}