{"id":"W6887300507","doi":"10.15468/dl.yr6mgd","title":"Occurrence Download","year":2021,"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); Data set; 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":[0.0008836162,0.001923831,0.001524832,0.004698207,0.0009257879,0.002451582,0.002880778,0.002105716,0.1515674],"category_scores_gemma":[0.005873274,0.000928043,0.001157474,0.009039424,0.0004403063,0.00226365,0.002404525,0.002014499,0.2105397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001645366,"about_ca_system_score_gemma":0.002143222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02015732,"about_ca_topic_score_gemma":0.0322744,"domain_scores_codex":[0.9990735,0.0001276007,0.0001220588,0.0003245529,0.0002053581,0.0001468582],"domain_scores_gemma":[0.9977139,0.0006542642,0.0002153738,0.0006176378,0.0005428349,0.0002559626],"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":[0.00002693721,0.00001169662,0.0003768478,0.0004984303,0.00001373541,0.0000140297,0.00002097336,0.0001337037,0.00009554633,0.0003157285,0.9969921,0.001500307],"study_design_scores_gemma":[0.00007835901,0.000009138894,0.002011317,0.0001962,0.00001510331,0.00004080773,0.00007588814,0.0002128924,0.0001913182,0.0007312997,0.9964205,0.00001716848],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004559376,0.00002704689,0.00004350047,0.00003795644,0.00001202572,0.000006012383,0.9988488,0.0003925971,0.0005864172],"genre_scores_gemma":[0.0001711966,0.0000334032,0.0002029386,0.00004382777,0.000003561567,0.00004844866,0.998888,0.0001334987,0.0004751396],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8484326,"threshold_uncertainty_score":0.5070435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878725496536469,"score_gpt":0.2292776369319846,"score_spread":0.2104903819666199,"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."}}