{"id":"W6905971260","doi":"10.15468/dl.xqp8e7","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":"Download; Matching (statistics); Range (aeronautics); Elymus; Product (mathematics)","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":[0.0009353943,0.001853034,0.001551606,0.004568548,0.0009690177,0.002734422,0.002881489,0.002059764,0.175804],"category_scores_gemma":[0.006519308,0.0009231749,0.001177983,0.009186547,0.0004327963,0.002440152,0.002505323,0.001978285,0.2220223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001672745,"about_ca_system_score_gemma":0.002395744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02269385,"about_ca_topic_score_gemma":0.03550628,"domain_scores_codex":[0.9990061,0.0001307228,0.0001323247,0.0003529153,0.0002207064,0.0001573336],"domain_scores_gemma":[0.9977385,0.0006700609,0.0002120871,0.0005641559,0.000561724,0.0002535377],"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":[0.00002770967,0.00001003446,0.0003379151,0.0005332031,0.00001397946,0.00001321921,0.0000204774,0.0001143069,0.0000877806,0.0003470534,0.9970458,0.001448544],"study_design_scores_gemma":[0.00007516069,0.00000777208,0.001667725,0.0002098602,0.00001509984,0.00003575289,0.00007014919,0.0001677411,0.0001695702,0.000788213,0.9967759,0.00001709305],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003427387,0.00002619741,0.00004266937,0.00003716287,0.00001101166,0.000005203903,0.9988523,0.0003883144,0.0006029124],"genre_scores_gemma":[0.0001648721,0.00003714604,0.0002031472,0.00004838155,0.000003441545,0.00004467854,0.9988542,0.0001521018,0.0004920833],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.824196,"threshold_uncertainty_score":0.5881228,"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."}}