{"id":"W6905965549","doi":"10.15468/dl.kedgeq","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","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":[0.0009151629,0.001837632,0.001576284,0.00496746,0.0009417986,0.002476775,0.002626947,0.002097614,0.1543169],"category_scores_gemma":[0.005754951,0.0008499439,0.001233172,0.009741784,0.0004362431,0.00221535,0.002401868,0.001853163,0.2167596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001541527,"about_ca_system_score_gemma":0.002225082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02125426,"about_ca_topic_score_gemma":0.03313338,"domain_scores_codex":[0.9990197,0.000137322,0.0001220967,0.0003456171,0.0002110415,0.0001641737],"domain_scores_gemma":[0.9976414,0.000704932,0.0002210822,0.000599329,0.0005739614,0.0002593374],"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":[0.0000304501,0.00001222454,0.0004085121,0.0006083006,0.00001533416,0.00001618978,0.00002357923,0.0001286206,0.0001291541,0.0003480995,0.9966531,0.001626539],"study_design_scores_gemma":[0.00007325133,0.0000100328,0.002245441,0.000228395,0.00001612693,0.00004039139,0.00008219978,0.0001596015,0.0001964205,0.0006911319,0.9962391,0.00001795051],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004900771,0.00003317922,0.00004071865,0.00003996263,0.00001270381,0.000005591166,0.998852,0.0003608546,0.0006058933],"genre_scores_gemma":[0.0001789084,0.00004009996,0.0001816655,0.00004756478,0.000003902144,0.00004410172,0.9989067,0.0001292419,0.0004677766],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8456831,"threshold_uncertainty_score":0.5162414,"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."}}