{"id":"W6943347955","doi":"10.15468/dl.zf2xgz","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); Order (exchange); 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":[0.0009254537,0.001977131,0.001549225,0.004695076,0.0009324948,0.002363734,0.002797267,0.001965356,0.1385732],"category_scores_gemma":[0.005329756,0.0008896166,0.001173182,0.009548489,0.0004484293,0.002122116,0.002418681,0.001951349,0.1990855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001608492,"about_ca_system_score_gemma":0.002267557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02547237,"about_ca_topic_score_gemma":0.04171014,"domain_scores_codex":[0.9990935,0.0001194156,0.0001161059,0.0003140779,0.0002038778,0.0001530078],"domain_scores_gemma":[0.9978842,0.0005780227,0.0002028,0.0005582482,0.0005330228,0.0002436454],"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":[0.00002961681,0.00001127199,0.0004096059,0.0005412741,0.00001623084,0.00001562318,0.00002704313,0.0001558628,0.0001401566,0.0004079643,0.9967128,0.001532587],"study_design_scores_gemma":[0.00006865722,0.00000775965,0.00192341,0.0001768976,0.00001476592,0.00003658137,0.00007675924,0.0001688761,0.0002062741,0.0007315232,0.9965705,0.00001796059],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004352726,0.00002472683,0.00004869343,0.00003119778,0.00001131845,0.000004938984,0.9988483,0.0003903919,0.0005968104],"genre_scores_gemma":[0.0001616779,0.00002938295,0.0001980464,0.00003773199,0.000002827574,0.00003664532,0.9989773,0.000147447,0.0004089637],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8614268,"threshold_uncertainty_score":0.4635735,"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."}}