{"id":"W6887085746","doi":"10.15468/dl.mabyq9","title":"Occurrence Download","year":2020,"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); Reference data","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":[0.001133565,0.001974459,0.001640502,0.005398035,0.0009719553,0.002635872,0.003006709,0.00196001,0.1846295],"category_scores_gemma":[0.0067508,0.001006754,0.001131063,0.01092646,0.0004643429,0.002379422,0.002544101,0.002074852,0.2385934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001818001,"about_ca_system_score_gemma":0.002682812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02708487,"about_ca_topic_score_gemma":0.03798415,"domain_scores_codex":[0.9988719,0.0001448208,0.0001481647,0.0003885269,0.0002607991,0.0001859203],"domain_scores_gemma":[0.9969863,0.0008350839,0.0002865156,0.0007928827,0.0007528317,0.0003464253],"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":[0.00002795928,0.00000999678,0.0003239925,0.000441817,0.00001329084,0.00001274716,0.00002241453,0.0001168858,0.0000906057,0.0003786899,0.997299,0.001262559],"study_design_scores_gemma":[0.00007127078,0.000006529047,0.001813948,0.0001559908,0.00001297582,0.0000290604,0.00006626867,0.0001443449,0.0001795117,0.0007114895,0.9967918,0.00001684957],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002789908,0.00001532056,0.00003550681,0.00002740061,0.000008377262,0.000004117281,0.9990361,0.0003006989,0.0005446694],"genre_scores_gemma":[0.0001339755,0.0000242932,0.0001641844,0.00003326928,0.000002794023,0.00003745306,0.9989886,0.0001437816,0.0004716795],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8153705,"threshold_uncertainty_score":0.6176472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02101450523743655,"score_gpt":0.226568981422551,"score_spread":0.2055544761851144,"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."}}