{"id":"W7104718663","doi":"10.15468/dl.8d5jj9","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); Data set; Population","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":[],"consensus_categories":[],"category_scores_codex":[0.0009981404,0.001860321,0.001569784,0.005129814,0.000996715,0.002585297,0.002741861,0.001999815,0.1768969],"category_scores_gemma":[0.005786481,0.00091764,0.001156336,0.00966289,0.0004494504,0.002297336,0.002746341,0.001997293,0.2332946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001499742,"about_ca_system_score_gemma":0.00226079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02052702,"about_ca_topic_score_gemma":0.03329531,"domain_scores_codex":[0.998973,0.0001306102,0.0001301999,0.0003489247,0.0002348335,0.0001824175],"domain_scores_gemma":[0.9975234,0.0006532499,0.0002372958,0.0006597046,0.0006108193,0.0003154223],"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":[0.00003158032,0.00001160813,0.000384644,0.0005321612,0.00001520888,0.00001404442,0.00002372835,0.0001029625,0.0001287858,0.0003877823,0.9969613,0.001406262],"study_design_scores_gemma":[0.00007337102,0.000008230163,0.001984114,0.0001789484,0.00001394723,0.00003276708,0.00006797563,0.0001207593,0.0001981392,0.0007230177,0.9965821,0.00001660887],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004068592,0.00002307558,0.00003856867,0.00003073209,0.0000105875,0.000005192751,0.9988137,0.000382602,0.0006548396],"genre_scores_gemma":[0.0001540308,0.0000289039,0.0001679371,0.00004504062,0.00000339414,0.00003785511,0.998965,0.0001544278,0.0004433065],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1768969,"threshold_uncertainty_score":0.591779,"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."}}