{"id":"W6887127690","doi":"10.15468/dl.prp6fz","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); Species name; 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":[0.0009589813,0.001992417,0.001568745,0.004582443,0.0009586895,0.002418575,0.002833816,0.00205126,0.1494295],"category_scores_gemma":[0.00558349,0.000927423,0.001172772,0.009157465,0.0004575021,0.002190352,0.002499562,0.002002687,0.2071486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001617297,"about_ca_system_score_gemma":0.002255309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02251639,"about_ca_topic_score_gemma":0.03563639,"domain_scores_codex":[0.999059,0.0001236368,0.0001211241,0.0003318773,0.0002063664,0.0001579979],"domain_scores_gemma":[0.9978123,0.0006309488,0.0002064006,0.000574674,0.0005245756,0.0002511815],"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":[0.00003041139,0.00001152042,0.0003978926,0.0005509185,0.00001585038,0.00001628083,0.00002740391,0.0001445419,0.0001430989,0.000417587,0.996774,0.001470364],"study_design_scores_gemma":[0.00007398663,0.000007915227,0.001868377,0.000178447,0.00001462337,0.00003926733,0.00007537598,0.0001694346,0.0002150014,0.0007694258,0.99657,0.00001813065],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004507384,0.00002478493,0.00005024261,0.00003340368,0.00001161168,0.000005219188,0.9987803,0.0004241716,0.0006252209],"genre_scores_gemma":[0.0001692439,0.00002993378,0.0002097071,0.00004144966,0.000002981789,0.00004028903,0.9989279,0.000166569,0.000411898],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8505706,"threshold_uncertainty_score":0.4998913,"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."}}