{"id":"W6943309342","doi":"10.15468/dl.tk6fbf","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); Spartina alterniflora","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":[0.001016365,0.002047731,0.001720359,0.005744176,0.0009747391,0.00257508,0.002957953,0.002050188,0.145975],"category_scores_gemma":[0.005987602,0.000932512,0.001159117,0.01159003,0.0004616019,0.002179782,0.002462568,0.002009301,0.1937794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001801061,"about_ca_system_score_gemma":0.002703268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02822541,"about_ca_topic_score_gemma":0.04478657,"domain_scores_codex":[0.9988777,0.0001446566,0.0001514087,0.0003740834,0.0002607337,0.0001913592],"domain_scores_gemma":[0.9973598,0.000734065,0.0002595588,0.0006718244,0.0006608671,0.0003139722],"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":[0.00003193644,0.00001164366,0.000388556,0.0005852455,0.00001670708,0.00001713286,0.00002399986,0.000138063,0.0001315774,0.0003973694,0.9968768,0.001380879],"study_design_scores_gemma":[0.00007567437,0.000007996362,0.00208665,0.000195592,0.00001603999,0.00004119911,0.00007247134,0.000144164,0.0002096394,0.0006704713,0.9964613,0.00001879014],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003832267,0.00002432972,0.00003378012,0.00002951974,0.000008875511,0.000004531253,0.9990649,0.0002844247,0.0005113315],"genre_scores_gemma":[0.0001397084,0.00002928944,0.0001473213,0.00003419746,0.000002637983,0.00003336898,0.999135,0.0001029816,0.0003755844],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.854025,"threshold_uncertainty_score":0.488335,"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."}}