{"id":"W6905899857","doi":"10.15468/dl.uc4bqp","title":"Occurrence Download","year":2022,"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","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":[0.0009655936,0.001840915,0.001547551,0.004591222,0.0009612826,0.002482072,0.002604041,0.002035415,0.1460742],"category_scores_gemma":[0.00612436,0.0008573229,0.001252216,0.008742606,0.0004332173,0.002267317,0.002476497,0.001901722,0.2027201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001449834,"about_ca_system_score_gemma":0.002162619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01921617,"about_ca_topic_score_gemma":0.03030124,"domain_scores_codex":[0.9989975,0.0001411846,0.000130438,0.0003586897,0.0002101938,0.000162069],"domain_scores_gemma":[0.9974731,0.0007613142,0.000227569,0.0006662117,0.0005844808,0.000287355],"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":[0.00003215117,0.00001233067,0.0004432367,0.0005905647,0.00001589856,0.00001638682,0.00002338677,0.0001403116,0.000125647,0.0003423544,0.9967232,0.001534503],"study_design_scores_gemma":[0.00008437331,0.00001135878,0.002374318,0.000229748,0.00001713164,0.00004386908,0.00008941589,0.0002009216,0.0002112162,0.0007773961,0.995941,0.00001935175],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005323792,0.00003159888,0.00004569537,0.00004297,0.00001514333,0.000006094268,0.9988236,0.0004068103,0.0005747816],"genre_scores_gemma":[0.0001889244,0.00003799149,0.0001978222,0.00005033722,0.000004192851,0.00004504262,0.998902,0.0001331348,0.0004406269],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8539258,"threshold_uncertainty_score":0.488667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}