{"id":"W6943763729","doi":"10.15468/dl.suertx","title":"Occurrence Download","year":2023,"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); Alien; 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":[0.00100662,0.00186604,0.001567083,0.005077194,0.001035959,0.002513011,0.002741894,0.002143765,0.1486016],"category_scores_gemma":[0.006075167,0.0008960079,0.001250304,0.009958293,0.0004501156,0.002228551,0.002469715,0.001980338,0.2115128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001616867,"about_ca_system_score_gemma":0.002416513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02333472,"about_ca_topic_score_gemma":0.03795944,"domain_scores_codex":[0.99892,0.0001512902,0.0001369765,0.0003703799,0.0002447254,0.0001767401],"domain_scores_gemma":[0.9973418,0.0007995247,0.0002412956,0.0006784303,0.0006530302,0.0002857934],"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":[0.00002975535,0.0000127814,0.0004116455,0.0005676664,0.00001505085,0.00001602491,0.00002525095,0.0001230664,0.0001285078,0.0003643516,0.9968238,0.001482234],"study_design_scores_gemma":[0.00007203206,0.000009471825,0.002155869,0.0002152829,0.00001562111,0.00003944931,0.00008505908,0.0001447415,0.0002021087,0.0007094922,0.9963326,0.00001820453],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004850028,0.00003000786,0.00004239248,0.0000388214,0.0000125266,0.000005746583,0.9988182,0.000366334,0.0006374713],"genre_scores_gemma":[0.0001635247,0.00003456601,0.0001888337,0.00004663229,0.000003470092,0.00004268031,0.9989311,0.0001310764,0.000458043],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8513983,"threshold_uncertainty_score":0.497122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}