{"id":"W6924676011","doi":"10.15468/dl.ngzyqc","title":"Occurrence Download","year":2018,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Environmental, Ecological, and Cultural Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Download; Range (aeronautics); Set (abstract data type); Order (exchange)","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003649305,0.0002039246,0.0002272629,0.00002316473,0.001664151,0.0001533899,0.0005214425,0.0003712738,0.007309476],"category_scores_gemma":[0.0002427058,0.0001809492,0.0001298945,0.0001959849,0.001147016,0.0007797987,0.0003226653,0.0001693631,0.1875253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006073493,"about_ca_system_score_gemma":0.00007244555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002407832,"about_ca_topic_score_gemma":0.0008425142,"domain_scores_codex":[0.9985141,0.0001204953,0.0002616317,0.0001995333,0.0005545655,0.0003496742],"domain_scores_gemma":[0.9992474,0.00002175447,0.0002360203,0.0002141324,0.0001210605,0.0001596161],"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":[0.00001453908,0.00003194677,0.002334325,0.00002221762,0.00002301244,7.238698e-7,0.0004424754,3.051783e-7,9.725265e-9,3.358331e-7,0.9967495,0.0003806547],"study_design_scores_gemma":[0.0001329783,0.00004109416,0.0005824987,0.000001338036,0.00003430658,3.401136e-7,0.002561201,3.464953e-9,4.400438e-7,0.000002560546,0.9964218,0.0002214722],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001797604,0.00002819647,2.206418e-7,0.0003670019,0.0005969289,0.0003011102,0.9952183,0.00007531463,0.001615367],"genre_scores_gemma":[0.00005631628,0.0007557243,0.000001014187,0.0006365504,0.000007028539,0.000004395111,0.9985379,6.506375e-9,0.00000108002],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1802158,"threshold_uncertainty_score":0.9996355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02599376321588824,"score_gpt":0.2482760248620619,"score_spread":0.2222822616461737,"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."}}