{"id":"W6905643633","doi":"10.15468/dl.nwvb5x","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); Order (exchange)","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":[0.0009389355,0.00193024,0.001605383,0.005061744,0.0009735971,0.002565439,0.002810998,0.001942533,0.154052],"category_scores_gemma":[0.005561984,0.0008927601,0.001183407,0.01029064,0.0004241513,0.002222758,0.002477749,0.001910733,0.2170141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001553637,"about_ca_system_score_gemma":0.002364835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02407674,"about_ca_topic_score_gemma":0.04062232,"domain_scores_codex":[0.9989975,0.0001297522,0.0001291033,0.0003438886,0.0002341338,0.000165645],"domain_scores_gemma":[0.9976941,0.0006343359,0.0002146764,0.0006038659,0.000578539,0.0002744659],"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":[0.00002706182,0.00001018038,0.0003613375,0.0004828003,0.00001453111,0.00001443424,0.00002318569,0.0001162322,0.0001099592,0.000369053,0.997083,0.001388257],"study_design_scores_gemma":[0.00006474277,0.000007070534,0.00190588,0.0001781958,0.00001443879,0.00003723315,0.00007170453,0.0001421624,0.0001935247,0.0007592633,0.9966086,0.00001722111],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003988875,0.00002527259,0.00004238263,0.00003129862,0.0000109084,0.000004538122,0.9988747,0.0003488917,0.0006220798],"genre_scores_gemma":[0.0001427766,0.00003087474,0.000178247,0.00003664128,0.000002943068,0.00003541461,0.9989957,0.0001326965,0.0004445753],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.845948,"threshold_uncertainty_score":0.5153551,"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."}}