{"id":"W6924595779","doi":"10.15468/dl.ntcfhp","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Mechanics and Biomechanics Studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Alien; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001839488,0.0002629409,0.0002484448,0.00008832,0.0002992588,0.0000775899,0.0004452251,0.0001881103,0.02506888],"category_scores_gemma":[0.00002871998,0.0002828943,0.0001226946,0.0003172646,0.00002973968,0.0003130845,0.0004588611,0.0003056692,0.0349136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003983315,"about_ca_system_score_gemma":0.00003571322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008789845,"about_ca_topic_score_gemma":0.000008104017,"domain_scores_codex":[0.9988426,0.00002199021,0.0002953722,0.00014682,0.000423579,0.0002696227],"domain_scores_gemma":[0.9993615,0.000009156369,0.00009292488,0.0003587062,0.00008250815,0.00009521646],"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":[0.000007816892,0.00001152247,0.000006987331,0.0001996052,0.00005302372,0.000001703799,0.00002062487,0.00006847558,1.497748e-7,3.904597e-7,0.9985945,0.001035203],"study_design_scores_gemma":[0.0001490276,0.00002770118,0.000001039526,8.488006e-7,0.00003656687,0.000002779767,0.0001209726,0.000004468393,0.000004136019,0.000002618577,0.9993601,0.0002896737],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005841693,0.00008461247,0.00001657938,0.00002969658,0.001421115,0.0002133587,0.9978508,0.0002093755,0.0001160291],"genre_scores_gemma":[0.00000948824,0.0005506296,8.551804e-7,0.0001347311,0.000001025435,0.000008874558,0.9992943,1.835282e-8,5.323423e-8],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.009844721,"threshold_uncertainty_score":0.9999623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01296860237358471,"score_gpt":0.1913195296445505,"score_spread":0.1783509272709658,"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."}}