{"id":"W6887252442","doi":"10.15468/dl.x2kq7s","title":"Occurrence Download","year":2023,"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); Set (abstract data type); Data set","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":[0.0009699769,0.002029071,0.001578291,0.004752666,0.0009857096,0.002407648,0.00283928,0.002235291,0.1408323],"category_scores_gemma":[0.005561108,0.0009282752,0.001222995,0.009209383,0.0004658077,0.002187219,0.002598355,0.002077714,0.206141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001708226,"about_ca_system_score_gemma":0.002361266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02266035,"about_ca_topic_score_gemma":0.03816312,"domain_scores_codex":[0.9989888,0.0001278954,0.0001278308,0.0003482376,0.0002311653,0.0001761719],"domain_scores_gemma":[0.9977545,0.0006070168,0.0002204551,0.0006025257,0.0005473156,0.0002682352],"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":[0.00003055573,0.00001249005,0.0004044427,0.0005195352,0.00001482527,0.00001641172,0.00002652043,0.0001408281,0.0001343163,0.0004085535,0.9968737,0.001417855],"study_design_scores_gemma":[0.00007723396,0.000008495416,0.001904954,0.0001830854,0.0000139804,0.00003992282,0.00007670707,0.0001742128,0.0002083009,0.0007522342,0.9965429,0.00001803913],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004410539,0.00002408938,0.00004386407,0.0000337515,0.00001152343,0.000005261948,0.998847,0.0003987688,0.0005915881],"genre_scores_gemma":[0.0001539124,0.00002709849,0.0001947743,0.00004032491,0.000002947667,0.00003782839,0.9990121,0.0001382432,0.0003926606],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8591677,"threshold_uncertainty_score":0.471131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}