{"id":"W6905843155","doi":"10.15468/dl.s67q2r","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); Confidentiality; Order (exchange)","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":[0.0008379259,0.002020755,0.001566997,0.004882196,0.001035246,0.00257023,0.002779695,0.001934049,0.1494642],"category_scores_gemma":[0.005323614,0.0008659909,0.001185457,0.009785281,0.0004518311,0.002253298,0.002731815,0.001861669,0.2249659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001549435,"about_ca_system_score_gemma":0.002344618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02598494,"about_ca_topic_score_gemma":0.0441869,"domain_scores_codex":[0.99902,0.0001228068,0.0001205605,0.0003448435,0.0002272325,0.0001646422],"domain_scores_gemma":[0.9979308,0.000535162,0.0001823718,0.0005501065,0.0005511708,0.000250416],"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":[0.00002719934,0.00001066588,0.0004141506,0.0005300748,0.00001450175,0.00001556095,0.00002658334,0.0001259629,0.0001196182,0.0003614434,0.9967505,0.001603779],"study_design_scores_gemma":[0.0000558526,0.000007248403,0.001887527,0.000179047,0.00001362998,0.00003810113,0.00008209691,0.0001532573,0.0001808632,0.0006658697,0.9967199,0.00001660615],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004968231,0.00003419089,0.00005057083,0.00003744367,0.00001373423,0.000005202316,0.9985972,0.0004751317,0.0007368029],"genre_scores_gemma":[0.0001682328,0.00003581511,0.0002042744,0.0000407597,0.000003326451,0.00003565826,0.9988562,0.0001552535,0.0005004776],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8505358,"threshold_uncertainty_score":0.5000076,"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."}}