{"id":"W6924676011","doi":"10.15468/dl.ngzyqc","title":"Occurrence Download","year":2018,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Environmental, Ecological, and Cultural Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Download; Range (aeronautics); Set (abstract data type); Order (exchange)","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":[0.001031903,0.002136925,0.001764859,0.005510163,0.001071927,0.002783329,0.003195632,0.002174988,0.149834],"category_scores_gemma":[0.006522156,0.0009076716,0.001242055,0.01137155,0.0004790853,0.002321256,0.002732281,0.002241855,0.202945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001801554,"about_ca_system_score_gemma":0.002757469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03026741,"about_ca_topic_score_gemma":0.04871731,"domain_scores_codex":[0.9988527,0.0001449073,0.0001507191,0.000382861,0.0002784696,0.0001902211],"domain_scores_gemma":[0.9974478,0.0006918102,0.0002403836,0.0006128981,0.0006853037,0.000321814],"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":[0.00002701567,0.00001080775,0.0003267349,0.0004910922,0.00001417231,0.00001444692,0.00002279289,0.0001057031,0.00008135263,0.000360153,0.9974324,0.001113265],"study_design_scores_gemma":[0.00009316551,0.000007170367,0.001826187,0.000194719,0.00001475914,0.00003606321,0.00007368697,0.000165601,0.000160222,0.000741856,0.9966694,0.00001724883],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003735861,0.00002436507,0.00003818743,0.0000342629,0.00001051039,0.000005227052,0.9989784,0.0003323595,0.0005393081],"genre_scores_gemma":[0.0001315738,0.00003069915,0.0001497731,0.00003590696,0.000003019207,0.00003917175,0.9991115,0.0001226675,0.0003756803],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.850166,"threshold_uncertainty_score":0.5012445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02599376321588824,"score_gpt":0.2482760248620619,"score_spread":0.2222822616461737,"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."}}