{"id":"W6924886633","doi":"10.15468/dl.vamz35","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); Confidentiality; 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":[0.001124743,0.002006333,0.001626343,0.004930248,0.001073245,0.002692755,0.002915085,0.002125624,0.1687022],"category_scores_gemma":[0.006678791,0.001007841,0.001174497,0.009334207,0.0004696704,0.00237749,0.002708771,0.002105388,0.2334924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00170288,"about_ca_system_score_gemma":0.002532859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02150639,"about_ca_topic_score_gemma":0.03537365,"domain_scores_codex":[0.9988891,0.000145545,0.0001407311,0.0003874053,0.0002548788,0.0001823601],"domain_scores_gemma":[0.9972753,0.0007815711,0.0002472964,0.0007320457,0.0006547107,0.00030917],"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":[0.00002810859,0.00001116791,0.0003645306,0.0005334801,0.00001463747,0.00001546706,0.00002514445,0.0001143088,0.0001363408,0.0004051748,0.9969944,0.001357148],"study_design_scores_gemma":[0.00006547869,0.000007546069,0.001756777,0.0001916474,0.00001407035,0.00003798009,0.00006881854,0.000134961,0.0002051521,0.0007281941,0.9967718,0.00001758557],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003862925,0.00002528936,0.00004827819,0.00003545485,0.00001204048,0.000005240985,0.9987556,0.0004153931,0.0006641224],"genre_scores_gemma":[0.0001476988,0.00003044176,0.0002062365,0.00004321319,0.000003106288,0.00004122645,0.9989165,0.0001725451,0.0004390173],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8312979,"threshold_uncertainty_score":0.5643649,"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."}}