{"id":"W6924693837","doi":"10.15468/dl.ryfkjp","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); Checklist; Range (aeronautics); UniProt","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":[0.001095172,0.001778448,0.001464359,0.005861186,0.0008973342,0.002602382,0.002664414,0.001762882,0.2182174],"category_scores_gemma":[0.006028791,0.0009549392,0.001145718,0.01132824,0.0004116987,0.002601632,0.002837326,0.001860986,0.2660561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001606827,"about_ca_system_score_gemma":0.002513321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02720781,"about_ca_topic_score_gemma":0.04212308,"domain_scores_codex":[0.9989235,0.0001365581,0.0001433179,0.0003478071,0.0002505105,0.0001981726],"domain_scores_gemma":[0.9972125,0.0006931828,0.0002775203,0.0006719129,0.0007926338,0.0003521769],"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":[0.0000242383,0.000007305117,0.0002832095,0.0004745701,0.00001193441,0.00001133097,0.0000202701,0.00008460507,0.00009037386,0.0003768372,0.9972643,0.001351143],"study_design_scores_gemma":[0.0000491087,0.00000562987,0.001565998,0.0001735387,0.00001112871,0.00002527733,0.00005674386,0.0000759984,0.0001356915,0.0006575106,0.9972278,0.00001562253],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002352557,0.00001705272,0.00003384059,0.00002739637,0.000009523073,0.000004019131,0.9989499,0.0002654103,0.0006693396],"genre_scores_gemma":[0.0001342179,0.00003529583,0.0001766309,0.00004909439,0.000003624987,0.00003750331,0.9988359,0.0001726834,0.0005551268],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7817826,"threshold_uncertainty_score":0.7300099,"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."}}