{"id":"W6887219058","doi":"10.15468/dl.w9yj32","title":"Occurrence Download","year":2021,"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); Cladonia; 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":[0.00104305,0.001884332,0.001513114,0.004557875,0.0009771818,0.00250626,0.002885962,0.002004076,0.1587108],"category_scores_gemma":[0.006084338,0.0009306849,0.001158674,0.00914116,0.0004423433,0.002327857,0.00249251,0.002044166,0.2097519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001640927,"about_ca_system_score_gemma":0.002384979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02387428,"about_ca_topic_score_gemma":0.03685127,"domain_scores_codex":[0.9990138,0.0001352104,0.0001181807,0.0003484174,0.000221491,0.0001629512],"domain_scores_gemma":[0.9976572,0.0006842624,0.000211796,0.0006198562,0.000567182,0.0002596912],"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":[0.00002609733,0.00001069854,0.0003498205,0.0004629786,0.00001395538,0.00001374561,0.00002231348,0.0001288075,0.0001054841,0.0004183377,0.9971327,0.001315075],"study_design_scores_gemma":[0.00006681324,0.000007235214,0.00167149,0.0001708893,0.00001353824,0.00003405617,0.00006957549,0.0001621655,0.000194254,0.0008236219,0.9967695,0.0000167528],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004060769,0.00002347507,0.00004829523,0.00003617524,0.0000112676,0.00000516359,0.9987794,0.0004090133,0.0006465386],"genre_scores_gemma":[0.0001625361,0.00002891122,0.0002018957,0.00004305471,0.000003077843,0.00004116843,0.998897,0.0001657209,0.000456641],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8412892,"threshold_uncertainty_score":0.5309405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878725496536469,"score_gpt":0.2292776369319846,"score_spread":0.2104903819666199,"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."}}