{"id":"W6887201161","doi":"10.15468/dl.sr8v9r","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); Set (abstract data type); Confidentiality","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":[0.001120877,0.001890591,0.001660546,0.005331368,0.001049329,0.002815274,0.002976659,0.001976632,0.1903481],"category_scores_gemma":[0.006873647,0.001008161,0.001164778,0.01088135,0.0004688866,0.002381174,0.002775698,0.002053745,0.237521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001592247,"about_ca_system_score_gemma":0.002475702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02282464,"about_ca_topic_score_gemma":0.03652993,"domain_scores_codex":[0.9988919,0.0001483167,0.0001479381,0.0003813378,0.0002501941,0.0001803975],"domain_scores_gemma":[0.9972425,0.0008133128,0.0002538923,0.0007143692,0.0006663754,0.0003096325],"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":[0.0000256351,0.000009308487,0.0003274709,0.0005370039,0.00001413805,0.00001351034,0.00002476326,0.0001021327,0.0001002776,0.0003866093,0.9971796,0.001279613],"study_design_scores_gemma":[0.00006522283,0.000006306689,0.00158397,0.0001952719,0.00001389126,0.00003290657,0.00007363545,0.0001116692,0.0001616528,0.0007516576,0.9969873,0.00001657356],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003246475,0.00002307569,0.00004438527,0.00003277762,0.00001076094,0.00000487544,0.9988688,0.0003443623,0.0006385322],"genre_scores_gemma":[0.0001516833,0.00003458936,0.0002000237,0.00004479506,0.000003301807,0.00004503089,0.9988388,0.0001872817,0.0004943835],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8096519,"threshold_uncertainty_score":0.636778,"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."}}