{"id":"W6906066262","doi":"10.15468/dl.y1w4ny","title":"Occurrence Download","year":2015,"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); Data set; Set (abstract data type)","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":[0.001022778,0.001953447,0.001634011,0.005226826,0.0009858627,0.002767056,0.002943158,0.001964161,0.1546579],"category_scores_gemma":[0.006301085,0.0009385027,0.001196627,0.01094191,0.0004364736,0.002646295,0.002798556,0.002101833,0.2220651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001712201,"about_ca_system_score_gemma":0.00259885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02549162,"about_ca_topic_score_gemma":0.04418654,"domain_scores_codex":[0.9988433,0.0001613779,0.0001454162,0.0004055506,0.0002603654,0.0001839883],"domain_scores_gemma":[0.9973171,0.000723205,0.0002587954,0.0007384997,0.0006580346,0.0003042424],"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":[0.00002314427,0.000009371683,0.0003453545,0.0004626399,0.0000141196,0.00001235736,0.00002374132,0.0001130834,0.00008239704,0.0004308247,0.9972174,0.001265515],"study_design_scores_gemma":[0.00005400431,0.000006212068,0.00156171,0.0001741659,0.00001226156,0.00002973818,0.00006451466,0.0001325202,0.0001454955,0.0008213227,0.9969823,0.0000157073],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003831042,0.00002820623,0.00004890248,0.0000360577,0.00001148306,0.000004769325,0.9987179,0.000414364,0.0007000713],"genre_scores_gemma":[0.0001468797,0.00003503713,0.0001872971,0.00004164184,0.00000309728,0.00003441333,0.9989076,0.0001545927,0.0004894835],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8453422,"threshold_uncertainty_score":0.5173821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02668786630850237,"score_gpt":0.2410469455301918,"score_spread":0.2143590792216895,"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."}}