{"id":"W6962028382","doi":"10.15468/dl.rdt7rj","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":[0.001125847,0.002037042,0.001660255,0.005293728,0.001051731,0.002728201,0.002994851,0.002103471,0.1520136],"category_scores_gemma":[0.006354017,0.0009811714,0.001196566,0.01014065,0.0004759234,0.002450284,0.002620558,0.002065041,0.2156665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001666871,"about_ca_system_score_gemma":0.002490083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02343035,"about_ca_topic_score_gemma":0.03918238,"domain_scores_codex":[0.9988126,0.0001621607,0.0001614866,0.0004119537,0.0002656422,0.0001862304],"domain_scores_gemma":[0.9972479,0.0007798368,0.0002562293,0.0007389859,0.0006693458,0.000307733],"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":[0.00002884788,0.0000116501,0.0003777757,0.0005324705,0.00001511808,0.00001618573,0.00002533353,0.0001224949,0.0001159926,0.0003858272,0.9970309,0.001337431],"study_design_scores_gemma":[0.00007040738,0.000007828826,0.001859036,0.000188577,0.00001423464,0.00004103635,0.0000797369,0.0001505783,0.000184228,0.0007388235,0.9966469,0.00001858872],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003945966,0.00002423914,0.00004604063,0.00003336348,0.00001146724,0.000004939106,0.9988891,0.0003682481,0.0005830395],"genre_scores_gemma":[0.0001417655,0.00002946586,0.0001909573,0.00003828028,0.000003023975,0.00003723374,0.9990187,0.0001415754,0.0003990799],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8479865,"threshold_uncertainty_score":0.508536,"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."}}