{"id":"W6924703246","doi":"10.15468/dl.tcdpqs","title":"Occurrence Download","year":2020,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Aesthetic Perception and Analysis","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); R package; Data set","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":[0.0001045537,0.0002598886,0.0002796009,0.00007406133,0.0003127009,0.0001738017,0.0006351928,0.0002360046,0.00441219],"category_scores_gemma":[0.0004145442,0.0002564886,0.0002248381,0.000518454,0.0002389598,0.0006987059,0.0003148903,0.0003047566,0.6388515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001746073,"about_ca_system_score_gemma":0.0001020428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009740316,"about_ca_topic_score_gemma":0.000002894401,"domain_scores_codex":[0.998372,0.0001082336,0.0003571689,0.0003209762,0.0005949289,0.0002467022],"domain_scores_gemma":[0.9989992,0.000009358937,0.0002730266,0.0003936323,0.00008543456,0.0002392851],"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":[0.00002571023,0.000025686,0.00006068276,0.00004670639,0.000002576528,0.000004224131,0.00004522311,0.000005914134,0.000002123474,1.31285e-7,0.9982589,0.001522132],"study_design_scores_gemma":[0.0002095341,0.00002740862,0.00001338394,0.000001228706,0.00004613064,0.000006975326,0.00009051937,9.443954e-7,0.00001760146,7.161157e-7,0.9993324,0.0002531084],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002957404,0.000001960269,0.00001157953,0.0006110141,0.0002242711,0.0001643538,0.9983839,0.000125448,0.000181778],"genre_scores_gemma":[0.00009813171,0.0001084928,6.868748e-7,0.004701402,0.000001446735,0.000001992448,0.9950877,1.039021e-8,1.783046e-7],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6344392,"threshold_uncertainty_score":0.9999887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02989060865237661,"score_gpt":0.2411907945431563,"score_spread":0.2113001858907797,"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."}}