{"id":"W6943475782","doi":"10.15468/dl.v2v3v5","title":"Occurrence Download","year":2021,"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); Set (abstract data type); 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":[0.001063754,0.001946755,0.001730765,0.005361557,0.0009220545,0.002492498,0.002834823,0.002033209,0.1606383],"category_scores_gemma":[0.0064188,0.0009402085,0.001171607,0.01098845,0.0004425503,0.002187819,0.002395011,0.001956893,0.2055119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001607154,"about_ca_system_score_gemma":0.002327491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02153013,"about_ca_topic_score_gemma":0.03326201,"domain_scores_codex":[0.9988852,0.0001522127,0.0001550246,0.0003797807,0.0002468902,0.0001809092],"domain_scores_gemma":[0.997193,0.0008270324,0.0002757368,0.0007119575,0.0006810437,0.0003111448],"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":[0.00003289117,0.00001202734,0.0004185876,0.0006058537,0.00001733613,0.00001529943,0.00002269442,0.0001438637,0.0001176977,0.0003656837,0.9967887,0.001459314],"study_design_scores_gemma":[0.00008985764,0.000009168189,0.002254915,0.0002167845,0.00001720347,0.00003740869,0.00007292121,0.0001593396,0.0001904192,0.0007170775,0.9962161,0.00001882216],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003529412,0.00002274389,0.00003209677,0.00002801816,0.000008646079,0.000004501567,0.9991733,0.0002518546,0.0004435373],"genre_scores_gemma":[0.0001478904,0.00002982422,0.0001588476,0.00003551523,0.00000307484,0.00003985038,0.999109,0.0001044503,0.0003715786],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8393617,"threshold_uncertainty_score":0.5373888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878725496536469,"score_gpt":0.2292776369319846,"score_spread":0.2104903819666199,"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."}}