{"id":"W4395654987","doi":"10.15468/dl.4np77u","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; Geography; 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":[0.0009613627,0.001923988,0.001595166,0.004409981,0.00102549,0.002519412,0.002931764,0.002087335,0.1521799],"category_scores_gemma":[0.005685146,0.0009406324,0.001223517,0.009023746,0.0004559368,0.00236254,0.00257311,0.002156423,0.2117438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001784899,"about_ca_system_score_gemma":0.002335275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0262579,"about_ca_topic_score_gemma":0.04277674,"domain_scores_codex":[0.9990311,0.0001264406,0.0001227789,0.000331043,0.0002293293,0.0001593585],"domain_scores_gemma":[0.997853,0.0005824536,0.0001949751,0.0005563939,0.0005682399,0.0002449864],"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":[0.00002718267,0.00001079311,0.0003401016,0.0004631755,0.00001344908,0.00001493493,0.00002450156,0.0001217138,0.0001062262,0.0004031443,0.9971725,0.001302348],"study_design_scores_gemma":[0.00007515685,0.000006607268,0.001709666,0.000170617,0.0000122028,0.00003478273,0.00007161231,0.0001668431,0.0001787632,0.0007722845,0.9967849,0.00001647127],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004158324,0.00002483456,0.00005196429,0.00003775801,0.00001182175,0.000005732145,0.998684,0.000454379,0.0006879453],"genre_scores_gemma":[0.0001595599,0.00003143068,0.0002143767,0.00004672152,0.000003195596,0.00004395829,0.9988804,0.0001787961,0.0004415778],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8478201,"threshold_uncertainty_score":0.5090925,"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."}}