{"id":"W6924719168","doi":"10.15468/dl.ztn8m9","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Energy, Environment, Agriculture Analysis","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Set (abstract data type); 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":[0.0009905396,0.001960536,0.001574201,0.005000101,0.0009566155,0.002496316,0.002781552,0.002070095,0.1399436],"category_scores_gemma":[0.006015684,0.0008774365,0.001186151,0.01021746,0.000444059,0.002091714,0.002354721,0.00198636,0.19521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001542376,"about_ca_system_score_gemma":0.002216715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02138526,"about_ca_topic_score_gemma":0.0349336,"domain_scores_codex":[0.9989191,0.0001533129,0.0001458882,0.0003578532,0.0002495227,0.0001744019],"domain_scores_gemma":[0.9975344,0.0007018975,0.0002335967,0.0006189771,0.0006354919,0.000275715],"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":[0.000033975,0.00001224765,0.0004157569,0.0005654441,0.0000163497,0.00001667102,0.00002186763,0.0001570242,0.0001114641,0.0003898078,0.9969169,0.001342605],"study_design_scores_gemma":[0.00009145784,0.000009479989,0.002082054,0.0001971797,0.00001496187,0.00003904558,0.00007310817,0.0001875214,0.0001822325,0.0007975965,0.9963073,0.00001810618],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004007263,0.00002481864,0.0000367845,0.00003214425,0.00001024079,0.000004878234,0.9990562,0.0002988912,0.0004960014],"genre_scores_gemma":[0.0001552904,0.00003090297,0.0001626587,0.00003967698,0.000003361375,0.00003763246,0.999074,0.0001135167,0.0003829341],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8600564,"threshold_uncertainty_score":0.468158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009206674870530816,"score_gpt":0.1928457400688385,"score_spread":0.1836390651983077,"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."}}