{"id":"W6924430918","doi":"10.15468/dl.7h9y9c","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":[0.0009784112,0.002345282,0.001689855,0.004493194,0.001013807,0.002635156,0.003162676,0.002012498,0.1405471],"category_scores_gemma":[0.006053625,0.0009606585,0.0012551,0.008917812,0.000464449,0.002410744,0.00262238,0.002030904,0.1963964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001772055,"about_ca_system_score_gemma":0.002593207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02462628,"about_ca_topic_score_gemma":0.04122785,"domain_scores_codex":[0.998985,0.0001389565,0.000137492,0.000360677,0.000224039,0.0001538573],"domain_scores_gemma":[0.9978487,0.0006082747,0.0002010365,0.0005456583,0.0005368775,0.0002594648],"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":[0.00003948145,0.00001345763,0.00039147,0.0005971343,0.00001723549,0.00001783942,0.00002524168,0.0001553335,0.0001255682,0.0004634738,0.9965513,0.00160261],"study_design_scores_gemma":[0.00008847298,0.000009163155,0.001452708,0.0001798234,0.00001538094,0.00004221488,0.00006529177,0.0002192548,0.0002172778,0.0009505743,0.9967409,0.00001901725],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000490481,0.00003261433,0.000061118,0.00003700142,0.00001099232,0.000006160214,0.9984614,0.0006459797,0.0006957196],"genre_scores_gemma":[0.0001602209,0.00003779182,0.0002574979,0.00004657837,0.00000270947,0.00003638958,0.9988225,0.0002052549,0.0004310072],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8594529,"threshold_uncertainty_score":0.4701769,"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."}}