{"id":"W6905923593","doi":"10.15468/dl.azgbzq","title":"Occurrence Download","year":2024,"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","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":[0.0009349319,0.0018971,0.001561568,0.005294472,0.0009909355,0.00285883,0.002780597,0.001885314,0.1917479],"category_scores_gemma":[0.006345022,0.0009417533,0.001196836,0.01112767,0.0004369764,0.002475,0.002640583,0.001968536,0.2702758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001634993,"about_ca_system_score_gemma":0.002426387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02260901,"about_ca_topic_score_gemma":0.03606663,"domain_scores_codex":[0.9989619,0.0001359953,0.0001401841,0.0003639979,0.0002290476,0.0001689056],"domain_scores_gemma":[0.9975073,0.0007141232,0.0002237309,0.0006447601,0.0006401038,0.0002701444],"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":[0.0000241715,0.000009184937,0.000342425,0.0005298569,0.00001280917,0.0000136795,0.00002359923,0.00010774,0.00008807231,0.0003718422,0.9969211,0.001555654],"study_design_scores_gemma":[0.00005073384,0.000005920652,0.001431389,0.0001714235,0.00001142309,0.00003128893,0.00006974959,0.0001128412,0.000142286,0.000696118,0.9972626,0.00001418623],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003338378,0.00002571938,0.00004504582,0.00003424769,0.00001091142,0.000004824112,0.9987595,0.0003716648,0.0007146662],"genre_scores_gemma":[0.0001474144,0.00004028073,0.0002101992,0.00004546652,0.000003670966,0.00004254582,0.9987335,0.0001782296,0.0005986205],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8082521,"threshold_uncertainty_score":0.6414605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}