{"id":"W6887307251","doi":"10.15468/dl.z9hhnd","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); Measure (data warehouse)","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":[0.001025343,0.00196512,0.001496173,0.004979495,0.001072108,0.002391546,0.002961176,0.002098625,0.1430893],"category_scores_gemma":[0.005616371,0.0009580726,0.00118801,0.009778587,0.0004872704,0.0021852,0.002550165,0.002155544,0.1922887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001653516,"about_ca_system_score_gemma":0.002400181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02296102,"about_ca_topic_score_gemma":0.03947722,"domain_scores_codex":[0.9990158,0.0001324382,0.0001259831,0.0003400596,0.000222754,0.00016303],"domain_scores_gemma":[0.9976804,0.0006669174,0.0002131893,0.000630073,0.0005373463,0.0002719212],"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":[0.00002966583,0.0000130281,0.0004330885,0.0005525762,0.00001513207,0.00001803123,0.00003093579,0.0001476592,0.0001496971,0.0004570396,0.9965989,0.00155438],"study_design_scores_gemma":[0.0000729431,0.000007932603,0.001915472,0.0001786652,0.00001380601,0.00004214298,0.00008856251,0.0001530983,0.0002000097,0.0007700053,0.996539,0.0000184778],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005267271,0.00002645087,0.00005529827,0.0000362227,0.00001224037,0.000005765697,0.9987179,0.0004104606,0.0006831014],"genre_scores_gemma":[0.0001636998,0.00003004193,0.0002371614,0.00004029366,0.000002691181,0.00004332462,0.9989237,0.0001524535,0.0004064638],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8569107,"threshold_uncertainty_score":0.4786813,"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."}}