{"id":"W6887324020","doi":"10.15468/dl.v359dj","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; Set (abstract data type)","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":[0.001080192,0.001870255,0.001653854,0.00540425,0.001026878,0.002899636,0.002909517,0.001970712,0.1842205],"category_scores_gemma":[0.006660677,0.0009899711,0.001145878,0.01091063,0.0004542194,0.002476774,0.002709173,0.002001683,0.2420752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001562677,"about_ca_system_score_gemma":0.002322942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01991303,"about_ca_topic_score_gemma":0.03251909,"domain_scores_codex":[0.9988831,0.0001498294,0.000149078,0.0003919207,0.0002481679,0.0001779842],"domain_scores_gemma":[0.9973175,0.0007773503,0.0002546853,0.0007008329,0.0006506892,0.0002989908],"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":[0.00002613874,0.000009112,0.0003336251,0.0005365734,0.00001455366,0.00001377643,0.00002341418,0.0001006447,0.0001004516,0.0003808627,0.9971494,0.001311512],"study_design_scores_gemma":[0.00006279155,0.000006474292,0.001636919,0.0001901044,0.00001405692,0.00003409441,0.00006884586,0.0001132217,0.0001597154,0.0007286876,0.9969688,0.00001639133],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003386745,0.00002515397,0.00004484266,0.00003251604,0.00001078646,0.000004651397,0.9988633,0.0003464301,0.0006384027],"genre_scores_gemma":[0.0001579425,0.00003672758,0.0001951356,0.00004493614,0.000003561006,0.00004329828,0.9988325,0.0001848348,0.0005009605],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8157795,"threshold_uncertainty_score":0.616279,"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."}}