{"id":"W6943315477","doi":"10.15468/dl.n6dhac","title":"Occurrence Download","year":2024,"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); Identification (biology); Range (aeronautics); Process (computing); Context (archaeology)","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":[0.001031161,0.001993358,0.001721761,0.005891448,0.001026538,0.002646805,0.002865469,0.002102117,0.1615975],"category_scores_gemma":[0.006500117,0.0009450097,0.001203428,0.01124168,0.0004752788,0.002362318,0.002672275,0.001979785,0.2151489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001673848,"about_ca_system_score_gemma":0.002492128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0234512,"about_ca_topic_score_gemma":0.03822973,"domain_scores_codex":[0.9988527,0.0001500213,0.0001515227,0.0003915336,0.0002614027,0.0001927834],"domain_scores_gemma":[0.9972075,0.0007959123,0.0002701276,0.0007105416,0.0006944087,0.0003216765],"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":[0.00003063851,0.00001131129,0.0003866583,0.0006219634,0.00001637041,0.00001567012,0.00002473577,0.0001226344,0.0001294675,0.0003890763,0.9968089,0.001442559],"study_design_scores_gemma":[0.00006966723,0.000008005831,0.0018497,0.0002091172,0.00001558446,0.00003673061,0.0000682832,0.0001215221,0.0001773598,0.0006958281,0.9967302,0.00001800646],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003915718,0.00002973534,0.00003690803,0.00003291402,0.00001083379,0.000004783418,0.9989721,0.0003115439,0.0005620616],"genre_scores_gemma":[0.0001556405,0.00003730719,0.0001734442,0.00004450945,0.000003439353,0.00003901547,0.9989647,0.0001350172,0.0004470942],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8384025,"threshold_uncertainty_score":0.5405976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}