{"id":"W6943533282","doi":"10.15468/dl.sr8e85","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Range (aeronautics); Download; Set (abstract data type); Identification (biology)","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":[0.0009575151,0.001987947,0.001513836,0.006101036,0.0009654918,0.002467827,0.00260829,0.001781329,0.1594616],"category_scores_gemma":[0.005847199,0.0009231695,0.001225616,0.01125763,0.0004445244,0.002207009,0.002755382,0.001773034,0.2204293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001535586,"about_ca_system_score_gemma":0.002695056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02603845,"about_ca_topic_score_gemma":0.04339191,"domain_scores_codex":[0.998826,0.0001443415,0.0001621523,0.0003944464,0.0002633762,0.0002096895],"domain_scores_gemma":[0.9972114,0.0006866091,0.0002863672,0.0007008477,0.0007855468,0.0003292858],"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":[0.00003461727,0.00001052278,0.0004132965,0.0005777603,0.00001520586,0.00001554589,0.0000251387,0.0001049153,0.0001423381,0.000412653,0.9966682,0.001579787],"study_design_scores_gemma":[0.00006025581,0.000008638158,0.002109849,0.0001877485,0.0000142402,0.0000362822,0.00006562073,0.00009951211,0.0001944998,0.00066296,0.996542,0.00001839931],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004148124,0.00002302591,0.00003809241,0.00002712634,0.00001069163,0.000004802978,0.9988589,0.0003295717,0.0006662641],"genre_scores_gemma":[0.0001467863,0.00003293758,0.0001860736,0.00004197469,0.000003507587,0.00003417426,0.9989161,0.0001404712,0.00049787],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8405384,"threshold_uncertainty_score":0.5334521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01437393559742932,"score_gpt":0.2320798631925623,"score_spread":0.217705927595133,"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."}}