{"id":"W6924826884","doi":"10.15468/dl.xa4m9z","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Survey Methodology and Nonresponse","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Confidentiality; 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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.01211297,0.0001849239,0.0002471333,0.0001047726,0.001700908,0.00009535595,0.0007776838,0.0004148254,0.1472767],"category_scores_gemma":[0.006786985,0.0002141412,0.0001523815,0.0005187556,0.0005417819,0.0007515475,0.0003707196,0.0004508634,0.06615118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005553051,"about_ca_system_score_gemma":0.0006655965,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006707462,"about_ca_topic_score_gemma":0.0003924335,"domain_scores_codex":[0.9920959,0.006344747,0.0002980024,0.0002080695,0.0006940507,0.000359188],"domain_scores_gemma":[0.998104,0.0008749559,0.000280271,0.0003764047,0.000186005,0.0001783584],"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":[0.0006640517,0.00002869002,0.001201909,0.00002196623,0.00002259044,0.000003639304,0.0006312311,0.000002434388,5.367389e-9,4.638358e-7,0.9964834,0.0009396307],"study_design_scores_gemma":[0.000179391,0.00002588306,0.0003745573,4.222304e-7,0.00003114202,0.000001292274,0.001838483,3.884386e-9,2.452872e-7,0.000001995193,0.9973305,0.0002160379],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006524906,0.00002691189,0.000002947958,0.000368397,0.001677828,0.0002887058,0.9963852,0.00009519365,0.0005023043],"genre_scores_gemma":[0.000003580948,0.0001585983,0.000002057628,0.0007398702,0.000002209245,0.000006670727,0.9990863,7.306843e-9,7.442993e-7],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08112553,"threshold_uncertainty_score":0.999907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1095177025294684,"score_gpt":0.3518162926754835,"score_spread":0.2422985901460151,"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."}}