{"id":"W6924817326","doi":"10.15468/dl.m8e7bb","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)","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":[0.0009868921,0.001940994,0.001590048,0.004874814,0.0009769631,0.002445795,0.002778844,0.002118092,0.1476761],"category_scores_gemma":[0.005888545,0.0009123998,0.001186455,0.00948491,0.0004435788,0.002166328,0.002512604,0.00198176,0.1986797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001630671,"about_ca_system_score_gemma":0.002293879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0218172,"about_ca_topic_score_gemma":0.03520436,"domain_scores_codex":[0.9989609,0.0001376182,0.0001343105,0.0003601649,0.0002329754,0.0001741389],"domain_scores_gemma":[0.9976839,0.000662616,0.0002272558,0.00060799,0.0005439649,0.000274258],"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":[0.00003050565,0.00001178198,0.0004082808,0.0005474549,0.00001561591,0.00001527123,0.00002584183,0.000139625,0.0001273217,0.0003964379,0.9968509,0.001430967],"study_design_scores_gemma":[0.00008067686,0.000008746077,0.002034946,0.0002008262,0.00001538631,0.00003986632,0.00007581868,0.0001739603,0.0001919864,0.0007402223,0.9964203,0.00001727914],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004491602,0.00002700285,0.00004301386,0.00003470954,0.00001148381,0.000005004042,0.9988901,0.0003691733,0.0005745948],"genre_scores_gemma":[0.0001643025,0.00003112269,0.0001914648,0.00004198166,0.000003092817,0.00003990905,0.9989914,0.0001379104,0.0003987195],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8523239,"threshold_uncertainty_score":0.4940258,"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."}}