{"id":"W6961903539","doi":"10.15468/dl.pyv5va","title":"Occurrence Download","year":2016,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Species name","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003352404,0.0002477602,0.0002021502,0.0000308965,0.000265734,0.00009095106,0.0005258522,0.0002738517,0.03612518],"category_scores_gemma":[0.00005027572,0.0002051584,0.0001234911,0.0001800072,0.0003175551,0.001101771,0.0005927539,0.0001702849,0.6572568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000771535,"about_ca_system_score_gemma":0.00004293166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001138227,"about_ca_topic_score_gemma":0.0000408112,"domain_scores_codex":[0.9983774,0.0001070368,0.0003631753,0.000236477,0.0006034996,0.0003123689],"domain_scores_gemma":[0.9990107,0.0000132535,0.000272607,0.0004855644,0.00002672798,0.0001911557],"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":[0.00002487774,0.00003183618,0.00206414,0.00003294007,0.0000120726,0.000001028317,0.00003616483,0.000006808078,1.578793e-7,8.964638e-8,0.9953584,0.002431498],"study_design_scores_gemma":[0.0002747271,0.00002552709,0.0004889113,0.000002119901,0.00002205432,0.00000273934,0.00002073545,5.077863e-8,0.000006585006,0.000002698168,0.9988818,0.0002720134],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003997125,0.00000242766,0.0000224624,0.0005952278,0.000469574,0.0002358072,0.9976836,0.00006263224,0.0005285112],"genre_scores_gemma":[0.00003605862,0.0000300462,0.000001575386,0.001007562,0.000001565726,0.000003735154,0.9989185,8.686238e-9,9.722351e-7],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6211317,"threshold_uncertainty_score":0.964756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01820836558675051,"score_gpt":0.232532903892694,"score_spread":0.2143245383059435,"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."}}