{"id":"W6943706935","doi":"10.15468/dl.wc49mb","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); Alien; Confidentiality","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":[0.0009570814,0.001910701,0.001564772,0.005188996,0.001006144,0.002471158,0.002655794,0.00203885,0.1683604],"category_scores_gemma":[0.00589189,0.0008664543,0.001194029,0.009659432,0.0004539346,0.002242836,0.002454719,0.001943565,0.2239271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001547446,"about_ca_system_score_gemma":0.00222604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02125532,"about_ca_topic_score_gemma":0.03361851,"domain_scores_codex":[0.9990309,0.0001380795,0.0001181158,0.0003420995,0.0002069785,0.000163811],"domain_scores_gemma":[0.9975769,0.0007281731,0.0002178893,0.0006158236,0.0005972716,0.0002639948],"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":[0.00002763542,0.000011352,0.000410172,0.0005563538,0.00001430425,0.00001578605,0.00002469512,0.0001384593,0.000123902,0.0003612257,0.9967563,0.001559761],"study_design_scores_gemma":[0.00006745832,0.000008907552,0.001970295,0.0002174421,0.00001494099,0.00003843718,0.0000847102,0.0001626219,0.0001876648,0.000759919,0.9964696,0.00001797238],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004490323,0.00003048195,0.00004416375,0.00003761754,0.00001313953,0.000005539367,0.9988323,0.0003662299,0.0006257098],"genre_scores_gemma":[0.0001763591,0.00003690531,0.0002055506,0.00004856356,0.000004014116,0.00004563604,0.9988507,0.0001452485,0.0004870614],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8316396,"threshold_uncertainty_score":0.5632217,"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."}}