{"id":"W6924970942","doi":"10.15468/dl.y75a5x","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); Real world data","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":[0.001129758,0.001944068,0.001732813,0.00554116,0.001073049,0.002965996,0.00302719,0.002064818,0.1836609],"category_scores_gemma":[0.006884485,0.001016564,0.001218749,0.01126718,0.0004687287,0.002516594,0.002780014,0.002091003,0.2446178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001612234,"about_ca_system_score_gemma":0.002447837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02078564,"about_ca_topic_score_gemma":0.03347973,"domain_scores_codex":[0.9988108,0.0001612342,0.0001579372,0.0004128102,0.0002652554,0.0001920347],"domain_scores_gemma":[0.9972171,0.0008113426,0.000257396,0.0007206289,0.0006910722,0.0003025829],"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":[0.00002731322,0.000009762039,0.0003356026,0.0005689891,0.00001545191,0.00001417499,0.00002426093,0.0001113601,0.0001095099,0.0004022183,0.9969785,0.001402817],"study_design_scores_gemma":[0.00005984066,0.000006309252,0.001518177,0.0001951252,0.00001383226,0.00003225841,0.00006875024,0.0001129558,0.0001591702,0.0007365011,0.9970806,0.00001647834],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003309224,0.00002598813,0.00004707171,0.00003319555,0.00001133832,0.000004709656,0.9988489,0.0003533885,0.000642436],"genre_scores_gemma":[0.000145291,0.00003648815,0.0001985576,0.00004375602,0.000003376503,0.00004132363,0.9988679,0.0001794305,0.0004838738],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8163391,"threshold_uncertainty_score":0.6144068,"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."}}