{"id":"W6886860393","doi":"10.15468/dl.4v3k5q","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":"Download; Matching (statistics); Range (aeronautics); Set (abstract data type)","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":[0.0009570764,0.002240532,0.001654627,0.004442003,0.001093691,0.002637012,0.003271777,0.002229748,0.1360184],"category_scores_gemma":[0.005841509,0.0009319551,0.001273754,0.008594756,0.0004865915,0.002403201,0.002690024,0.002244025,0.2043158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001696295,"about_ca_system_score_gemma":0.002495971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02275009,"about_ca_topic_score_gemma":0.03851923,"domain_scores_codex":[0.9990231,0.0001287597,0.0001233422,0.0003456413,0.0002240429,0.000155146],"domain_scores_gemma":[0.9978812,0.0005883289,0.0001873952,0.0005719399,0.0005073001,0.0002637042],"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":[0.00003660779,0.00001455128,0.0003737233,0.0005193195,0.00001530422,0.00001894249,0.00002429994,0.0001471817,0.0001204675,0.0004140337,0.9968631,0.001452473],"study_design_scores_gemma":[0.0001056114,0.00001000058,0.001754861,0.0001859868,0.000015519,0.00005033471,0.00008164623,0.0002550784,0.0002343778,0.0010168,0.9962692,0.00002068129],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005619198,0.0000313808,0.00005963742,0.00004480622,0.00001221588,0.000006809914,0.9984562,0.000636645,0.0006960333],"genre_scores_gemma":[0.0001660289,0.00003224778,0.0002326053,0.0000452918,0.000002929602,0.00003916958,0.9989189,0.0001672169,0.0003957388],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8639816,"threshold_uncertainty_score":0.4550269,"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."}}