{"id":"W6887072274","doi":"10.15468/dl.nx8n8y","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); Alien; Species name","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":[0.001021194,0.001899147,0.001559355,0.004966214,0.001022285,0.002538578,0.002745933,0.002078769,0.1502877],"category_scores_gemma":[0.006136257,0.000880743,0.001269233,0.009552463,0.0004641789,0.002247397,0.00249405,0.001958284,0.216217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00155711,"about_ca_system_score_gemma":0.002370366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02254291,"about_ca_topic_score_gemma":0.0357233,"domain_scores_codex":[0.9989467,0.0001463427,0.0001303009,0.0003672545,0.0002383325,0.0001710787],"domain_scores_gemma":[0.9973947,0.0007818771,0.0002302308,0.000682562,0.0006285877,0.000282078],"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":[0.00002970724,0.00001252121,0.0004050616,0.0005564241,0.00001476699,0.00001596826,0.00002391886,0.0001236136,0.0001250944,0.000351476,0.996878,0.001463352],"study_design_scores_gemma":[0.00007657867,0.00001013679,0.002178902,0.0002162399,0.00001595706,0.00004108906,0.00008349919,0.000162547,0.0002146258,0.0007726789,0.9962088,0.00001900021],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004905209,0.00003069537,0.00004396595,0.00004020714,0.00001330456,0.00000604761,0.9987742,0.0004020158,0.0006404959],"genre_scores_gemma":[0.0001715652,0.00003546917,0.000191068,0.00004784355,0.000003790955,0.00004523115,0.9988949,0.0001415271,0.0004686194],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8497123,"threshold_uncertainty_score":0.5027623,"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."}}