{"id":"W6943785258","doi":"10.15468/dl.zch2jv","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":[0.0009547786,0.002303313,0.001664245,0.004540733,0.001018086,0.002575689,0.003129712,0.001991838,0.1337305],"category_scores_gemma":[0.005937325,0.0009385527,0.001232016,0.009072683,0.0004712554,0.002349971,0.00258079,0.002004548,0.1932711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001751214,"about_ca_system_score_gemma":0.002581013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02566922,"about_ca_topic_score_gemma":0.04300027,"domain_scores_codex":[0.998992,0.0001368818,0.000134723,0.0003572016,0.000223946,0.0001553143],"domain_scores_gemma":[0.9978893,0.0005801699,0.0001976203,0.0005335941,0.0005378058,0.0002615411],"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":[0.00003888059,0.00001340538,0.0003954566,0.000575961,0.0000164258,0.00001768502,0.00002461472,0.0001535284,0.0001223413,0.0004456041,0.996637,0.001559074],"study_design_scores_gemma":[0.00008977675,0.000009667358,0.001549214,0.0001806468,0.00001515022,0.00004340521,0.0000689486,0.0002166439,0.0002122175,0.0009251896,0.9966701,0.00001916205],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005109428,0.00003364114,0.00005650365,0.00003658763,0.00001113029,0.000006033065,0.9985247,0.0005984805,0.0006816994],"genre_scores_gemma":[0.0001597325,0.00003759299,0.0002403469,0.00004432144,0.000002705596,0.00003525514,0.9988812,0.0001795356,0.0004193637],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8662695,"threshold_uncertainty_score":0.4473732,"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."}}