{"id":"W6962185592","doi":"10.15468/dl.vwrpsv","title":"Occurrence Download","year":2015,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Nursing care and research","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Data set; Confidentiality","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":[0.001029587,0.0002555156,0.0003469419,0.0001279743,0.0009676805,0.00004609047,0.000620881,0.0008105978,0.004323177],"category_scores_gemma":[0.0005060121,0.0002297225,0.0001168755,0.0003830075,0.0002211277,0.0006570292,0.0005427569,0.001152202,0.5992007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001251821,"about_ca_system_score_gemma":0.001345827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001841707,"about_ca_topic_score_gemma":0.00006465421,"domain_scores_codex":[0.9973172,0.000388227,0.0005344205,0.0002244154,0.0009351819,0.0006005479],"domain_scores_gemma":[0.9973482,0.00006695107,0.0003423581,0.00063702,0.001224649,0.0003807748],"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":[0.0001056939,0.00002724896,0.001962207,0.0004546502,0.00002324647,0.000002522858,0.000246116,8.416091e-7,1.270357e-8,6.282931e-8,0.9960041,0.001173284],"study_design_scores_gemma":[0.0005419002,0.00005028502,0.00008780942,0.00001564552,0.00003671362,0.000001284987,0.001373684,4.430642e-8,1.694069e-7,0.000002288169,0.9976656,0.0002246162],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002049242,0.00003991439,0.000001248914,0.0004887982,0.002378328,0.0007068181,0.9944655,0.0001119343,0.001602572],"genre_scores_gemma":[0.000003825061,0.00006505809,7.692132e-7,0.0009094829,0.000007633708,0.000009532565,0.9990015,1.645296e-8,0.000002203511],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5948775,"threshold_uncertainty_score":0.996587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07825336885702577,"score_gpt":0.38853812370684,"score_spread":0.3102847548498142,"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."}}