{"id":"W6962736963","doi":"10.15468/dl.zm5yzh","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":"Matching (statistics); Download; Alien; Range (aeronautics); State (computer science)","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":[],"consensus_categories":[],"category_scores_codex":[0.0009232426,0.002042274,0.001464263,0.004604149,0.0009308636,0.002373274,0.002584709,0.001934792,0.1498632],"category_scores_gemma":[0.005804686,0.000879975,0.001232558,0.009003714,0.0004332679,0.002121271,0.002452937,0.001802912,0.2066663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001416342,"about_ca_system_score_gemma":0.002233948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02012109,"about_ca_topic_score_gemma":0.03295868,"domain_scores_codex":[0.9989817,0.0001392103,0.0001279253,0.0003725241,0.0002102701,0.0001683306],"domain_scores_gemma":[0.9976446,0.0006812093,0.0002216609,0.0006176594,0.0005650423,0.0002698543],"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":[0.00003261732,0.00001233017,0.0004185594,0.0005140213,0.00001463069,0.00001428054,0.00002053284,0.0001367732,0.0001202558,0.0003338189,0.9969031,0.001479056],"study_design_scores_gemma":[0.0000822026,0.00001167434,0.002075421,0.0001831948,0.00001597846,0.00003926137,0.00007039722,0.0001813294,0.0002125891,0.0008199457,0.9962884,0.00001951547],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005120675,0.00002706282,0.00004195151,0.00003596134,0.00001341349,0.000005465768,0.9988357,0.0003931334,0.0005960942],"genre_scores_gemma":[0.0001740331,0.00003280993,0.0002001507,0.00004715677,0.000003783839,0.00004270514,0.9988681,0.0001451084,0.00048617],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1498632,"threshold_uncertainty_score":0.5013424,"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."}}