{"id":"W6924681247","doi":"10.15468/dl.sga8yc","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Computational Physics and Python Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Download; Range (aeronautics); Set (abstract data type); Identification (biology)","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":[0.0009285613,0.002175302,0.001576939,0.004525688,0.001005786,0.002464073,0.002924976,0.001953421,0.1248918],"category_scores_gemma":[0.005213434,0.0008546506,0.001156452,0.008267781,0.0004446624,0.002232465,0.002508918,0.001983414,0.194319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001542126,"about_ca_system_score_gemma":0.002218901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01678023,"about_ca_topic_score_gemma":0.03152316,"domain_scores_codex":[0.9990062,0.0001389861,0.0001163645,0.0003659412,0.000213497,0.0001589901],"domain_scores_gemma":[0.9979577,0.0005419401,0.0001912973,0.0005529837,0.0005051416,0.0002508803],"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":[0.00003385354,0.00001340818,0.0004493693,0.0004978895,0.00001569904,0.00001473305,0.00001961235,0.0001432529,0.0001188518,0.0004045042,0.9968204,0.001468306],"study_design_scores_gemma":[0.00007866335,0.000009342578,0.001712325,0.0001576463,0.00001503441,0.00004051151,0.00005946634,0.0002010623,0.0002295551,0.0009954498,0.996482,0.00001886051],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006085174,0.00003523169,0.00005493566,0.0000369963,0.000012878,0.000005978627,0.9985651,0.0005037179,0.0007242509],"genre_scores_gemma":[0.000194688,0.00003515612,0.0002287093,0.00005086156,0.000003681782,0.00004383487,0.9987829,0.0001591418,0.0005009664],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8751082,"threshold_uncertainty_score":0.4178047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01540219779651399,"score_gpt":0.2268065629561528,"score_spread":0.2114043651596388,"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."}}