{"id":"W6943166783","doi":"10.15468/dl.ar5aek","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Range (aeronautics); Set (abstract data type); Identification (biology); Download","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":[0.001009386,0.002368019,0.001734255,0.004727633,0.001037683,0.002712374,0.003186551,0.002022309,0.1459272],"category_scores_gemma":[0.006418453,0.00098927,0.001261499,0.009342619,0.000466717,0.002410652,0.002658846,0.002076821,0.2020181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001767598,"about_ca_system_score_gemma":0.002643929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02356246,"about_ca_topic_score_gemma":0.03880363,"domain_scores_codex":[0.9989432,0.0001433292,0.0001428741,0.0003752016,0.0002361074,0.0001593264],"domain_scores_gemma":[0.9977353,0.000650306,0.0002094643,0.0005731574,0.000560338,0.0002714793],"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":[0.00004002968,0.00001375345,0.0003825629,0.0006204081,0.00001772874,0.00001856247,0.00002616608,0.0001560337,0.0001304475,0.0004792183,0.9964773,0.00163776],"study_design_scores_gemma":[0.00008751252,0.000008961051,0.001417834,0.0001798171,0.00001549443,0.00004250511,0.00006473831,0.000209556,0.0002167807,0.0009548437,0.9967831,0.00001876404],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004991871,0.0000343468,0.00006555799,0.00003917563,0.00001157721,0.00000640533,0.9983835,0.000683905,0.0007255664],"genre_scores_gemma":[0.0001587175,0.00003935318,0.0002642815,0.00004636769,0.000002761085,0.00003760643,0.9987858,0.0002226241,0.0004424272],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8540728,"threshold_uncertainty_score":0.4881752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0089153214616674,"score_gpt":0.2136767702076688,"score_spread":0.2047614487460014,"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."}}