{"id":"W6962235134","doi":"10.15468/dl.nssny2","title":"Occurrence Download","year":2016,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Environmental Justice and Health Disparities","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001103089,0.001826796,0.001565979,0.004837157,0.0008977643,0.002389812,0.002852998,0.002034866,0.1321072],"category_scores_gemma":[0.006159652,0.0008321636,0.001232346,0.0095626,0.0004627527,0.002053768,0.002633493,0.002148852,0.1669773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00172792,"about_ca_system_score_gemma":0.002566953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02520604,"about_ca_topic_score_gemma":0.04300885,"domain_scores_codex":[0.9989416,0.0001556549,0.0001484109,0.0003413359,0.0002373906,0.0001757087],"domain_scores_gemma":[0.99773,0.0005656293,0.0002544548,0.000572945,0.0005792228,0.0002978182],"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":[0.00003167424,0.00001149264,0.0004788644,0.00056117,0.00001718633,0.00001407612,0.00002203358,0.0001204819,0.00009484585,0.0003838207,0.9969581,0.001306307],"study_design_scores_gemma":[0.0001051972,0.00000919015,0.002443394,0.0002538497,0.00001650677,0.00003825686,0.00007926317,0.0001558591,0.0001744324,0.0008485238,0.9958579,0.00001754614],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004113911,0.00002703223,0.00003075197,0.00003591788,0.00001089273,0.000005675126,0.999135,0.0002185254,0.0004951124],"genre_scores_gemma":[0.0001589251,0.00003754534,0.0001560014,0.00004830278,0.0000037646,0.00004258792,0.9990671,0.00008587054,0.0003999186],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8678927,"threshold_uncertainty_score":0.4419427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02133900777431268,"score_gpt":0.2662300577656259,"score_spread":0.2448910499913132,"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."}}