{"id":"W6905878997","doi":"10.15468/dl.nzwf44","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":"Download; Matching (statistics); Range (aeronautics); 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":[0.0009895646,0.001955741,0.001660277,0.005282018,0.0009585507,0.002619939,0.002721629,0.001980275,0.1631152],"category_scores_gemma":[0.00577892,0.0009310471,0.001123951,0.01061718,0.0004540178,0.002291078,0.002603538,0.001993045,0.2202723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001508553,"about_ca_system_score_gemma":0.002279314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01919157,"about_ca_topic_score_gemma":0.0326114,"domain_scores_codex":[0.9989856,0.0001343725,0.0001284054,0.0003530137,0.0002284128,0.000170268],"domain_scores_gemma":[0.9976104,0.0006672657,0.0002358632,0.0006310758,0.000573318,0.000282008],"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":[0.00002940808,0.00001111135,0.0004049437,0.000587117,0.00001579838,0.00001526847,0.00002577202,0.0001368292,0.0001283486,0.0004176303,0.9967318,0.001496034],"study_design_scores_gemma":[0.00006778914,0.000007268015,0.001812955,0.0001865901,0.0000136393,0.00003370746,0.00006967178,0.0001272651,0.0001811533,0.0007496383,0.9967335,0.00001686163],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003906504,0.00002573484,0.00004129106,0.00003004094,0.00001043899,0.000004600422,0.998928,0.0003156448,0.00060505],"genre_scores_gemma":[0.0001622345,0.00003399238,0.0001932373,0.00004083484,0.000003423004,0.00003964418,0.9988995,0.0001469479,0.0004802072],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8368848,"threshold_uncertainty_score":0.5456747,"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."}}