{"id":"W6924504508","doi":"10.15468/dl.gtff5d","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":[0.000975811,0.002263253,0.001653382,0.004508543,0.001011238,0.002620313,0.003129942,0.00198154,0.1420239],"category_scores_gemma":[0.006072446,0.0009440333,0.00124349,0.008914211,0.000461502,0.002388972,0.002613702,0.002012087,0.1960365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001730727,"about_ca_system_score_gemma":0.002568289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0241771,"about_ca_topic_score_gemma":0.0405538,"domain_scores_codex":[0.9989919,0.0001388029,0.0001358609,0.000357847,0.0002225847,0.0001530223],"domain_scores_gemma":[0.9978582,0.0006045203,0.0002001372,0.0005451298,0.0005342413,0.0002578535],"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":[0.00003853509,0.00001304638,0.000394763,0.0005954545,0.00001687569,0.00001760059,0.00002539027,0.0001556343,0.0001251749,0.0004755583,0.9965366,0.001605337],"study_design_scores_gemma":[0.00008365836,0.000008826015,0.001426144,0.0001779847,0.00001498046,0.00004114517,0.00006502588,0.0002079356,0.0002077911,0.0009425668,0.9968055,0.00001841156],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004914709,0.00003292507,0.00006148386,0.00003767839,0.00001117967,0.000006110202,0.9984616,0.0006216016,0.0007182641],"genre_scores_gemma":[0.0001628916,0.00003864368,0.0002574949,0.0000471161,0.000002761564,0.00003718694,0.9988046,0.0002031596,0.0004461576],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8579761,"threshold_uncertainty_score":0.4751172,"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."}}