{"id":"W6962703892","doi":"10.15468/dl.vt45y7","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Download; Alien; Range (aeronautics)","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":[0.0009005836,0.001995932,0.001454925,0.004477032,0.0009435626,0.002346759,0.002599053,0.001880235,0.1589729],"category_scores_gemma":[0.005628565,0.0008719583,0.0011934,0.008866598,0.0004249502,0.00211718,0.002438224,0.001760052,0.2187561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001404274,"about_ca_system_score_gemma":0.00221744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01993575,"about_ca_topic_score_gemma":0.03277585,"domain_scores_codex":[0.9990128,0.0001349881,0.0001219812,0.0003616818,0.00020075,0.0001677303],"domain_scores_gemma":[0.9977468,0.0006373993,0.000211987,0.0005816955,0.0005581566,0.0002639635],"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":[0.00003157212,0.00001181981,0.0004061636,0.000491926,0.0000134844,0.00001352944,0.00001928252,0.0001291234,0.000118298,0.0003271766,0.9969876,0.001450134],"study_design_scores_gemma":[0.00008185149,0.00001194629,0.002051923,0.0001865761,0.00001544641,0.00003829375,0.00006833804,0.0001742146,0.0002055557,0.0008085771,0.9963385,0.00001886452],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004892825,0.00002677273,0.00004022437,0.00003447076,0.00001310874,0.000005136464,0.998844,0.0003694794,0.0006179153],"genre_scores_gemma":[0.0001630674,0.0000321167,0.0001794484,0.0000465138,0.000003701078,0.00003910413,0.9989257,0.0001322604,0.0004780123],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8410271,"threshold_uncertainty_score":0.5318173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}