{"id":"W6924543201","doi":"10.15468/dl.gsttef","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); 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":[0.0009721229,0.00189727,0.001569633,0.005272856,0.00109125,0.003023231,0.002832526,0.002019909,0.1900277],"category_scores_gemma":[0.006679079,0.0009502405,0.001280611,0.01064707,0.0004306967,0.002852437,0.002826144,0.002108233,0.2761235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001692742,"about_ca_system_score_gemma":0.002610171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02205773,"about_ca_topic_score_gemma":0.03655502,"domain_scores_codex":[0.9988379,0.0001622539,0.0001499273,0.0004216628,0.0002445036,0.0001838057],"domain_scores_gemma":[0.9972802,0.0007526171,0.0002243311,0.0007461739,0.0007090353,0.0002875517],"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":[0.00002353074,0.000009042947,0.000315779,0.0004726071,0.00001133155,0.00001238226,0.00002183791,0.00009317974,0.00008061205,0.0003729705,0.9970822,0.001504391],"study_design_scores_gemma":[0.0000441533,0.000005712993,0.001212679,0.0001605155,0.00001001455,0.00002757455,0.00006330093,0.0001116495,0.0001301449,0.0007180023,0.9975024,0.00001391606],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003518785,0.00002800475,0.00005061564,0.00004269604,0.00001333253,0.000005649316,0.9985237,0.0004516215,0.000849306],"genre_scores_gemma":[0.0001481095,0.00004102392,0.0002300045,0.00005386202,0.00000412533,0.00004446446,0.998609,0.0001954068,0.0006739925],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8099723,"threshold_uncertainty_score":0.6357061,"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."}}