{"id":"W6924837803","doi":"10.15468/dl.zqgn5w","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); 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":[0.001080916,0.001999439,0.001578409,0.005164315,0.001072085,0.002653648,0.002895153,0.002170464,0.159612],"category_scores_gemma":[0.006483857,0.0009562151,0.001194568,0.009805441,0.0004721221,0.002389689,0.002711111,0.00210914,0.2203264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001684124,"about_ca_system_score_gemma":0.002513783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02466195,"about_ca_topic_score_gemma":0.04136064,"domain_scores_codex":[0.9988562,0.0001558169,0.0001470004,0.0004045078,0.0002562439,0.0001802372],"domain_scores_gemma":[0.9972671,0.00078694,0.0002523209,0.0007338603,0.0006513356,0.0003084386],"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":[0.00002758497,0.0000113573,0.0003725986,0.0004951278,0.00001430443,0.00001507996,0.00002579594,0.0001236625,0.000110131,0.0003923576,0.9971071,0.001304879],"study_design_scores_gemma":[0.0000675863,0.000007737883,0.001843032,0.0001852807,0.0000141584,0.00003804054,0.00007792643,0.0001513692,0.0001776716,0.0007746588,0.996644,0.00001857597],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003946211,0.00002338947,0.00004619074,0.00003643855,0.00001171263,0.000004959422,0.9988513,0.0003710876,0.000615394],"genre_scores_gemma":[0.0001492818,0.00002894683,0.0002004502,0.00004251655,0.000003051191,0.00003854164,0.9989415,0.0001503174,0.0004454672],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8403881,"threshold_uncertainty_score":0.5339552,"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."}}