{"id":"W6962195122","doi":"10.15468/dl.4sx2cu","title":"Occurrence Download","year":2024,"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); Data set; Column (typography)","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":[0.001066896,0.001950236,0.001655455,0.005788314,0.001014879,0.002685369,0.002839085,0.001969918,0.1608358],"category_scores_gemma":[0.006248678,0.0009304867,0.001233512,0.01105236,0.0004632056,0.002301071,0.00279684,0.001948911,0.22009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001544356,"about_ca_system_score_gemma":0.002418902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0203379,"about_ca_topic_score_gemma":0.03476525,"domain_scores_codex":[0.99886,0.0001538447,0.0001553946,0.0003786933,0.0002598323,0.0001922804],"domain_scores_gemma":[0.9973407,0.0007106959,0.0002605272,0.000713847,0.0006598123,0.0003144306],"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":[0.00003414218,0.000012015,0.0004032729,0.0006497027,0.00001748733,0.00001637059,0.00002622802,0.0001210813,0.0001455932,0.0004180702,0.9965488,0.001607234],"study_design_scores_gemma":[0.00006792445,0.000007844895,0.001788708,0.000196429,0.00001468024,0.00003546564,0.00006620864,0.0001171505,0.0001941129,0.0007368873,0.9967572,0.0000173237],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004253801,0.00002922019,0.00004230881,0.00003176738,0.00001081904,0.000005566575,0.9987805,0.0003792326,0.0006780613],"genre_scores_gemma":[0.000148253,0.00003444729,0.0001861798,0.0000424909,0.000003283213,0.00004061949,0.9989753,0.0001485764,0.0004209032],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8391643,"threshold_uncertainty_score":0.5380492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}