{"id":"W4395280987","doi":"10.15468/dl.6afrr3","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Computer science; World Wide Web","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":[0.0009347377,0.001951338,0.001611443,0.004916334,0.0009422959,0.002522618,0.002695235,0.002029963,0.159149],"category_scores_gemma":[0.005626847,0.0009271981,0.001215107,0.009608313,0.0004310674,0.002316715,0.002604206,0.002107966,0.2244246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001691032,"about_ca_system_score_gemma":0.002335893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02317442,"about_ca_topic_score_gemma":0.03840891,"domain_scores_codex":[0.9989823,0.0001239594,0.0001322449,0.0003478123,0.0002385409,0.0001752705],"domain_scores_gemma":[0.997586,0.0006380635,0.0002296274,0.0006223815,0.0006249133,0.0002989276],"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":[0.00002883971,0.00001110054,0.0003742945,0.0005108861,0.00001494844,0.0000150134,0.00002225124,0.0001277718,0.0001152628,0.0003657418,0.9970661,0.001347888],"study_design_scores_gemma":[0.00007921663,0.000007933354,0.001889408,0.0001821888,0.00001379048,0.00003479714,0.00006906861,0.0001618468,0.0001826317,0.000717413,0.9966447,0.00001704385],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003789314,0.00002305556,0.00003993792,0.00003292364,0.00001182641,0.000005157181,0.9988858,0.0003584357,0.0006049699],"genre_scores_gemma":[0.0001430731,0.00003232169,0.0001849656,0.00004206579,0.000003433963,0.00003853917,0.9989393,0.0001514807,0.0004649042],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8408511,"threshold_uncertainty_score":0.5324063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02484850230871555,"score_gpt":0.2268166199254699,"score_spread":0.2019681176167544,"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."}}