{"id":"W6924736554","doi":"10.15468/dl.m89n6k","title":"Occurrence Download","year":2024,"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); 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":[0.0009267317,0.001916301,0.00149044,0.005461359,0.000990396,0.002600556,0.002671369,0.001900508,0.1786911],"category_scores_gemma":[0.006468927,0.0009094566,0.00112283,0.01058917,0.0004195991,0.002444656,0.002548651,0.001892912,0.248981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001684374,"about_ca_system_score_gemma":0.002412494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02328019,"about_ca_topic_score_gemma":0.04041379,"domain_scores_codex":[0.998917,0.0001493839,0.0001388476,0.0003657609,0.0002547104,0.0001743531],"domain_scores_gemma":[0.997344,0.0007413393,0.0002394242,0.0006496763,0.0007378128,0.0002877709],"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":[0.00002336429,0.000009460757,0.0003187619,0.0004319084,0.00001126974,0.00001219917,0.00002053904,0.00009779957,0.00008155593,0.000310281,0.9972376,0.001445386],"study_design_scores_gemma":[0.00005757881,0.000007332747,0.001559497,0.0001822147,0.00001210081,0.00003373405,0.00007677369,0.0001456693,0.0001687814,0.00072026,0.9970194,0.0000167038],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004083307,0.00002722986,0.00005021561,0.00003869671,0.00001239984,0.000005627968,0.9986084,0.0004432834,0.0007733303],"genre_scores_gemma":[0.0001688234,0.00003639115,0.0002337325,0.00004580551,0.00000398819,0.00004567512,0.9986646,0.000182845,0.0006181435],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8213089,"threshold_uncertainty_score":0.5977814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}