{"id":"W7075955334","doi":"10.15468/dl.n75p4h","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Muon and positron interactions and applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Identification (biology); Order (exchange)","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":[0.001010604,0.002162791,0.001545756,0.004725628,0.001000783,0.002427572,0.003016456,0.002327485,0.1062914],"category_scores_gemma":[0.005213889,0.0008608502,0.001264515,0.008828571,0.0004755056,0.002113807,0.002469888,0.001939621,0.1776829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001741102,"about_ca_system_score_gemma":0.002331314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02359143,"about_ca_topic_score_gemma":0.04054882,"domain_scores_codex":[0.9989281,0.0001479392,0.0001378824,0.0003670288,0.0002408694,0.0001780282],"domain_scores_gemma":[0.9978814,0.0005105659,0.0002027006,0.0005964133,0.0005567701,0.0002522001],"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":[0.00003569487,0.00001383054,0.0004495534,0.0005394268,0.00001765081,0.0000172733,0.00002115239,0.0001712916,0.0001342468,0.0003802399,0.9966524,0.001567217],"study_design_scores_gemma":[0.00008164388,0.000009875854,0.002068838,0.0001973615,0.00001629312,0.00004213342,0.0000682617,0.0002015984,0.0002404201,0.0007547323,0.9963005,0.00001830609],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005215171,0.00003245442,0.00004345122,0.00003397206,0.00001113352,0.000005790265,0.9988137,0.0004001824,0.0006072168],"genre_scores_gemma":[0.000158521,0.00003149412,0.0001731808,0.00004061639,0.000002944111,0.00003355062,0.9990989,0.0001010902,0.0003597042],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8937086,"threshold_uncertainty_score":0.3555802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008142917680610812,"score_gpt":0.2161054020192096,"score_spread":0.2079624843385988,"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."}}