{"id":"W7111343811","doi":"10.15468/dl.vcu76m","title":"Occurrence Download","year":2025,"lang":"","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Set (abstract data type); Data set","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":[0.001010201,0.001988984,0.001585756,0.005049593,0.001107772,0.002671597,0.002935583,0.002248453,0.1611387],"category_scores_gemma":[0.006783153,0.0009304131,0.001185939,0.009659276,0.0004781787,0.002553579,0.002676279,0.002120511,0.2257037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001791968,"about_ca_system_score_gemma":0.00261089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02524424,"about_ca_topic_score_gemma":0.04025057,"domain_scores_codex":[0.9988967,0.0001387921,0.0001358201,0.0003871337,0.0002526147,0.0001888948],"domain_scores_gemma":[0.9973085,0.0007563985,0.0002412162,0.000673326,0.0007062845,0.00031427],"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":[0.00002905673,0.00001149514,0.0003521571,0.000512451,0.00001331496,0.00001467373,0.0000238738,0.0001082789,0.0001114309,0.0003654551,0.9971166,0.00134115],"study_design_scores_gemma":[0.00006989328,0.00000875827,0.001789968,0.0002084323,0.00001421585,0.00003638798,0.00008392259,0.0001511891,0.0001905269,0.0007475521,0.9966816,0.00001764293],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004364415,0.00002711822,0.00004456807,0.00004220977,0.00001389764,0.000005670616,0.998719,0.0004211941,0.0006827898],"genre_scores_gemma":[0.0001528933,0.00003216487,0.000193189,0.00004855694,0.000003479754,0.00003832421,0.9989098,0.0001543363,0.000467197],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8388613,"threshold_uncertainty_score":0.5390626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01434536157882973,"score_gpt":0.2311093459842124,"score_spread":0.2167639844053826,"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."}}