{"id":"W6905791789","doi":"10.15468/dl.nbxidx","title":"Occurrence Download","year":2017,"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; 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":[0.001018763,0.00198546,0.001586044,0.005461805,0.0009661203,0.002646254,0.002966289,0.002134581,0.1283272],"category_scores_gemma":[0.00610901,0.0008382485,0.001190338,0.01056197,0.0004658907,0.002438865,0.002539032,0.002020246,0.1948681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001704008,"about_ca_system_score_gemma":0.002519662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02113953,"about_ca_topic_score_gemma":0.03464681,"domain_scores_codex":[0.9988494,0.0001637181,0.0001480998,0.0003903901,0.000256017,0.000192397],"domain_scores_gemma":[0.9974207,0.0007125001,0.0002558664,0.0006762495,0.0006351238,0.0002995918],"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":[0.00002906058,0.00001261394,0.0004353602,0.0005074749,0.00001602491,0.00001534407,0.00002176575,0.0001326954,0.0001014984,0.0003959358,0.9969702,0.001362155],"study_design_scores_gemma":[0.00007674778,0.000009156981,0.002071737,0.0002058118,0.00001579185,0.00004416659,0.00007947166,0.0001874469,0.0001839095,0.0008251574,0.996283,0.00001754522],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005308881,0.0000375748,0.00004431939,0.00004210277,0.0000132136,0.000005362986,0.9988483,0.0003419431,0.0006141158],"genre_scores_gemma":[0.0001587246,0.00003575779,0.000150107,0.00003928147,0.000003415801,0.00003254009,0.999097,0.00009641954,0.000386847],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8716729,"threshold_uncertainty_score":0.4292971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02387106755018206,"score_gpt":0.2528130017232275,"score_spread":0.2289419341730454,"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."}}