{"id":"W6943258015","doi":"10.15468/dl.yada4n","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); Species name; Alien","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":[0.0009604699,0.001887271,0.001513779,0.004770102,0.001036022,0.002419715,0.002781346,0.002100907,0.1514331],"category_scores_gemma":[0.00569494,0.0008673655,0.001244806,0.009308957,0.0004714536,0.002290853,0.002542234,0.001954589,0.2137353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001533383,"about_ca_system_score_gemma":0.002280391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02233713,"about_ca_topic_score_gemma":0.03851753,"domain_scores_codex":[0.9990067,0.0001392307,0.0001210509,0.0003475962,0.0002208438,0.0001647144],"domain_scores_gemma":[0.997482,0.000723868,0.000219578,0.0006884771,0.0006124727,0.000273554],"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":[0.00002964405,0.00001291652,0.0003957487,0.0005348866,0.00001355235,0.00001583038,0.00002569992,0.0001248218,0.0001242528,0.0003628944,0.9968346,0.001525226],"study_design_scores_gemma":[0.00007079838,0.000009383203,0.002049014,0.0001973858,0.0000135431,0.00003875035,0.00008664453,0.0001510563,0.0001954426,0.000732634,0.996438,0.00001744677],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005479108,0.00003058142,0.00004732254,0.0000420649,0.00001426841,0.000006369186,0.9986839,0.0004207672,0.0006999921],"genre_scores_gemma":[0.0001749982,0.00003414504,0.0002096618,0.00004736223,0.000003778206,0.00004546214,0.9988582,0.0001422429,0.000484092],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8485669,"threshold_uncertainty_score":0.5065942,"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."}}