{"id":"W6906080485","doi":"10.15468/dl.ydpgcc","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); R package; Order (exchange)","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":[0.001158287,0.001994554,0.001680454,0.005350103,0.001081644,0.00282547,0.003002076,0.002123514,0.1730989],"category_scores_gemma":[0.006755911,0.001006415,0.001186004,0.0102452,0.00047424,0.002469792,0.002654707,0.002102579,0.2440627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001680067,"about_ca_system_score_gemma":0.002537367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02206897,"about_ca_topic_score_gemma":0.0365198,"domain_scores_codex":[0.9987929,0.0001629409,0.0001614951,0.0004218598,0.0002679705,0.0001928023],"domain_scores_gemma":[0.9972017,0.000805123,0.0002658415,0.0007187376,0.0006930834,0.0003156365],"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":[0.00002624155,0.00001003033,0.0003324566,0.0004990535,0.00001375005,0.00001389993,0.000022774,0.0001045599,0.000105653,0.000367194,0.9972798,0.001224644],"study_design_scores_gemma":[0.0000668412,0.000007058414,0.001665471,0.0001913345,0.00001391562,0.00003537209,0.00006995445,0.0001288752,0.0001742775,0.0007320411,0.9968976,0.00001729888],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003315352,0.00002328627,0.00004280686,0.00003265228,0.00001084691,0.000004725265,0.998919,0.0003332105,0.0006003439],"genre_scores_gemma":[0.0001372088,0.00003066277,0.0001820847,0.00004195382,0.000003220156,0.0000398064,0.9989643,0.00015133,0.0004494068],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8269011,"threshold_uncertainty_score":0.5790735,"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."}}