{"id":"W6887018115","doi":"10.15468/dl.tx7hfx","title":"Occurrence Download","year":2019,"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); Confidentiality; 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":[0.001037198,0.001922995,0.001695702,0.004889132,0.001090079,0.002827488,0.002913626,0.002078097,0.1814279],"category_scores_gemma":[0.006824886,0.0009341278,0.001250608,0.009700324,0.0004731387,0.002474444,0.002831924,0.002085825,0.247908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001667662,"about_ca_system_score_gemma":0.002497063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02248866,"about_ca_topic_score_gemma":0.03703058,"domain_scores_codex":[0.9989091,0.0001473302,0.0001396925,0.0003919231,0.0002349704,0.0001769908],"domain_scores_gemma":[0.9973543,0.0007606136,0.000237762,0.0006894004,0.0006655082,0.0002924596],"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":[0.00002674696,0.00000919955,0.0003496665,0.0005525871,0.00001498706,0.00001388787,0.00002445582,0.0001153023,0.00009961121,0.0003894317,0.9969771,0.001427027],"study_design_scores_gemma":[0.00006075877,0.000006842366,0.001564688,0.0002133829,0.00001434371,0.00003333935,0.00007059671,0.0001340881,0.0001610393,0.0008576629,0.9968664,0.00001688089],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003334883,0.00002964319,0.00004661354,0.00003747079,0.00001320509,0.000004913008,0.9988163,0.0003898858,0.0006288266],"genre_scores_gemma":[0.0001517091,0.00003788361,0.0002105196,0.00005092709,0.000003626493,0.00004291187,0.9988183,0.000177904,0.00050616],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8185721,"threshold_uncertainty_score":0.6069368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0225412765836933,"score_gpt":0.2352696232258381,"score_spread":0.2127283466421448,"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."}}