{"id":"W6962374361","doi":"10.15468/dl.snnbzn","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); The Internet; 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":[0.001119492,0.001936818,0.001642887,0.005105953,0.001099337,0.002940599,0.003033157,0.002076434,0.1895146],"category_scores_gemma":[0.006776882,0.001001761,0.00121821,0.01049284,0.0004599381,0.002530919,0.002771221,0.002149698,0.2577926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001613786,"about_ca_system_score_gemma":0.002509108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02209377,"about_ca_topic_score_gemma":0.03676861,"domain_scores_codex":[0.998868,0.0001524175,0.0001466929,0.0003953058,0.0002542102,0.0001833432],"domain_scores_gemma":[0.997263,0.0007867821,0.0002400768,0.0007213827,0.0006943066,0.000294574],"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":[0.00002522453,0.000009293704,0.0002990893,0.0004864283,0.0000136652,0.00001368385,0.00002271556,0.00009765774,0.00009837405,0.0004036445,0.9972408,0.001289393],"study_design_scores_gemma":[0.00005605826,0.000005931017,0.001377841,0.000171561,0.00001256474,0.00003053656,0.00006481109,0.0001106048,0.0001651619,0.0007858918,0.9972028,0.00001622277],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003005095,0.00002128319,0.00004714647,0.00003268775,0.00001093156,0.000004643929,0.9988099,0.0003666267,0.0006767369],"genre_scores_gemma":[0.0001350935,0.0000315067,0.0001922823,0.00004374526,0.000003250278,0.00004074992,0.9988757,0.000180651,0.0004970607],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8104854,"threshold_uncertainty_score":0.6339895,"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."}}