{"id":"W6887178291","doi":"10.15468/dl.rffu27","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); State (computer science); Data collection","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":[0.001033731,0.001989778,0.001517837,0.005060546,0.00104241,0.002476959,0.002941976,0.002140065,0.1562688],"category_scores_gemma":[0.006004592,0.0009176453,0.001166917,0.009613183,0.0004695652,0.002438192,0.002590584,0.002171159,0.215357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001621515,"about_ca_system_score_gemma":0.002312823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.021178,"about_ca_topic_score_gemma":0.03742357,"domain_scores_codex":[0.9989247,0.0001586374,0.0001320805,0.0003754626,0.0002366587,0.0001725292],"domain_scores_gemma":[0.997318,0.0007610111,0.0002404325,0.0007544562,0.0006226778,0.0003035702],"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":[0.00002634035,0.0000124059,0.0003420148,0.0004462414,0.00001269641,0.00001393095,0.00002349512,0.0001312841,0.00009973789,0.0003855522,0.997169,0.001337351],"study_design_scores_gemma":[0.00006801502,0.000007997701,0.001700772,0.000164986,0.00001219077,0.00003554719,0.0000770285,0.0001678692,0.0001743857,0.0008396608,0.9967337,0.00001785856],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000048781,0.00002571017,0.00005368905,0.00004085153,0.00001375904,0.000005840178,0.9986759,0.0004305922,0.0007048228],"genre_scores_gemma":[0.0001625706,0.00002915022,0.000221751,0.00004297249,0.000003475665,0.00004375636,0.9988481,0.0001573844,0.0004909235],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8437312,"threshold_uncertainty_score":0.5227712,"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."}}