{"id":"W6962153744","doi":"10.15468/dl.xwxby5","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); Alien; Range (aeronautics); Data access","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":[0.0009792177,0.002051648,0.001595795,0.004659194,0.001072046,0.00255834,0.002911481,0.002298232,0.1543401],"category_scores_gemma":[0.005935693,0.0009147985,0.00135349,0.00892161,0.0004684629,0.002435313,0.002658297,0.002083188,0.2226488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001618939,"about_ca_system_score_gemma":0.002423055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02284997,"about_ca_topic_score_gemma":0.03851503,"domain_scores_codex":[0.9989277,0.0001507498,0.0001277333,0.0003828864,0.0002327734,0.0001781003],"domain_scores_gemma":[0.9974169,0.0007465644,0.0002199942,0.0007197417,0.0006110314,0.0002858836],"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":[0.00002993167,0.00001279989,0.0003641899,0.0004873223,0.00001373251,0.00001514987,0.00002256263,0.0001205029,0.0001086363,0.0003376428,0.9971538,0.001333727],"study_design_scores_gemma":[0.00007992717,0.00001011355,0.00200181,0.0001959642,0.00001495113,0.00004053317,0.00008000267,0.0001764813,0.0002021322,0.000826228,0.9963524,0.00001931141],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004857427,0.00002878869,0.0000449707,0.00004261775,0.00001378531,0.000006083825,0.9987375,0.000435811,0.000641921],"genre_scores_gemma":[0.000165355,0.00003137227,0.0001959202,0.0000492992,0.000003601123,0.00004314066,0.9989009,0.0001400458,0.000470327],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8456599,"threshold_uncertainty_score":0.5163192,"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."}}