{"id":"W4396417634","doi":"10.15468/dl.gsf2i5","title":"Occurrence Download","year":2019,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Computer science; World Wide Web","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":[0.0008282547,0.001696213,0.001463828,0.004739893,0.0009903635,0.002798293,0.002668352,0.001854506,0.1684207],"category_scores_gemma":[0.005699588,0.0009025898,0.001190091,0.009851819,0.0004062256,0.002395616,0.00256862,0.001971569,0.2361664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001556532,"about_ca_system_score_gemma":0.002272575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01879665,"about_ca_topic_score_gemma":0.02977571,"domain_scores_codex":[0.9990168,0.0001245411,0.0001470543,0.0003488805,0.0001981533,0.0001645542],"domain_scores_gemma":[0.9977915,0.0005926366,0.0002092096,0.0005945413,0.0005720909,0.0002399735],"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":[0.00002920854,0.00001010783,0.000429445,0.0005500689,0.00001449812,0.00001610903,0.00002561876,0.0001162992,0.0001091508,0.0004276278,0.9965101,0.001761663],"study_design_scores_gemma":[0.00005603119,0.000006328096,0.001598056,0.0001640458,0.00001204823,0.00003443482,0.00007202957,0.0001389514,0.0001630615,0.0006931197,0.9970474,0.00001448297],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004041516,0.00002506973,0.00004793098,0.00003704723,0.00001338572,0.000005467209,0.9987648,0.000384857,0.0006811057],"genre_scores_gemma":[0.0001744418,0.00003926818,0.0002101406,0.00005137043,0.000004084575,0.00004370942,0.9987437,0.0001609888,0.0005723035],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8315793,"threshold_uncertainty_score":0.5634235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0241412917765197,"score_gpt":0.2238682037474346,"score_spread":0.1997269119709149,"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."}}