{"id":"W4395190631","doi":"10.15468/dl.8dg7zq","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":[0.0008867782,0.001853478,0.001482023,0.004266972,0.001004835,0.002830186,0.002728267,0.00191742,0.1774891],"category_scores_gemma":[0.006020051,0.0008826576,0.001318443,0.008597409,0.0003988784,0.00250378,0.002565117,0.001975208,0.2616444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001536726,"about_ca_system_score_gemma":0.002296357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02094755,"about_ca_topic_score_gemma":0.03312201,"domain_scores_codex":[0.9989941,0.000126919,0.0001272584,0.0003598121,0.0002169698,0.0001749641],"domain_scores_gemma":[0.9976927,0.0006149308,0.0001854502,0.0006312451,0.0006265132,0.0002492304],"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":[0.00002726067,0.000009598607,0.0003883843,0.0004417143,0.00001311871,0.0000149138,0.00002274911,0.0001230168,0.0001005254,0.0003788216,0.9967471,0.001732727],"study_design_scores_gemma":[0.00005709906,0.000006501589,0.001549672,0.0001474343,0.00001101572,0.0000320716,0.00006888452,0.000191761,0.0001739042,0.0008198887,0.9969267,0.0000149684],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004542184,0.00002873971,0.00006566569,0.00004563977,0.00001565189,0.000006303464,0.9982628,0.0006820554,0.0008476881],"genre_scores_gemma":[0.0001868573,0.0000378793,0.0002623028,0.00005489265,0.000004481761,0.00004509055,0.9985791,0.0002292022,0.0006001813],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8225109,"threshold_uncertainty_score":0.5937603,"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."}}