{"id":"W6887137938","doi":"10.15468/dl.sfnabt","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); 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":[0.001045246,0.001997244,0.00168725,0.005036902,0.001004259,0.002759206,0.002823593,0.002185758,0.17528],"category_scores_gemma":[0.006787007,0.0009567801,0.001183306,0.009921311,0.0004507468,0.002586376,0.00265528,0.002081348,0.2307424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0015723,"about_ca_system_score_gemma":0.002397152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02012094,"about_ca_topic_score_gemma":0.03475788,"domain_scores_codex":[0.9988905,0.0001572599,0.0001400415,0.0004020843,0.0002352532,0.0001748772],"domain_scores_gemma":[0.9971855,0.0008464854,0.0002548068,0.0007441773,0.0006547811,0.000314123],"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":[0.00002947273,0.00001107269,0.0003425209,0.0005818242,0.00001484053,0.00001463834,0.00002326306,0.00011951,0.0001028914,0.0003860234,0.9970613,0.00131263],"study_design_scores_gemma":[0.00007378358,0.000007604123,0.001583802,0.0001955909,0.00001370976,0.00003321025,0.00006594494,0.0001384795,0.0001581,0.0008650098,0.996847,0.00001770328],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003535242,0.00002524139,0.00004394757,0.00003567583,0.00001094466,0.000005160203,0.9988337,0.000382177,0.000627715],"genre_scores_gemma":[0.0001616306,0.00003446769,0.0002129322,0.00005029926,0.000003630838,0.00004561966,0.9988189,0.000176016,0.0004965407],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.82472,"threshold_uncertainty_score":0.58637,"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."}}