{"id":"W6924725559","doi":"10.15468/dl.t73qgv","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Student Assessment and Feedback","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Alien; Range (aeronautics); State (computer science); Identification (biology)","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":[0.0006812349,0.00019637,0.0002175907,0.00008250503,0.001540456,0.0002619499,0.0009017089,0.0002365953,0.1559882],"category_scores_gemma":[0.0001635553,0.0002258722,0.0001571799,0.0004875655,0.0002963564,0.001054687,0.0005142647,0.0003224664,0.08155476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008328359,"about_ca_system_score_gemma":0.0004006507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005136836,"about_ca_topic_score_gemma":0.0002234738,"domain_scores_codex":[0.9977869,0.0001923583,0.000289427,0.0001946334,0.001179829,0.0003568066],"domain_scores_gemma":[0.9990414,0.0000340097,0.0002836208,0.0003086299,0.0001700873,0.0001621936],"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":[0.0000233328,0.00003878658,0.003603305,0.00002755319,0.00002495545,0.000001470087,0.0007603827,0.000001522135,2.674256e-9,0.000001174055,0.9949085,0.0006089827],"study_design_scores_gemma":[0.0002192873,0.00002208649,0.0001730096,5.784988e-7,0.0000418655,2.854233e-7,0.004733378,7.87397e-9,4.216481e-8,0.000001141415,0.9945689,0.0002393555],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002155045,0.00001716852,5.178989e-7,0.0003758247,0.001355006,0.000387283,0.994934,0.000100374,0.002614357],"genre_scores_gemma":[0.000009985965,0.000211183,5.494849e-7,0.0004565975,0.000003472288,0.000007254223,0.9993098,7.954733e-9,0.000001140055],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07443342,"threshold_uncertainty_score":0.9997594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02463889375982685,"score_gpt":0.283686746752925,"score_spread":0.2590478529930982,"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."}}