{"id":"W6924885497","doi":"10.15468/dl.z2azs2","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"AI and HR Technologies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Herbarium; Download; Matching (statistics); Field (mathematics); State (computer science); Range (aeronautics)","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002107635,0.0002673063,0.0002498113,0.0002385791,0.0003473269,0.0004343506,0.0007624409,0.0003850712,0.0005692647],"category_scores_gemma":[0.0002964173,0.0002638433,0.0001321704,0.0007162085,0.0001653325,0.002508568,0.0009798374,0.0002675088,0.7916088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001253417,"about_ca_system_score_gemma":0.00003789632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002460968,"about_ca_topic_score_gemma":0.00007574742,"domain_scores_codex":[0.998757,0.000004769979,0.0003117057,0.000210879,0.0004074157,0.000308242],"domain_scores_gemma":[0.998919,0.00001120095,0.000360912,0.0004521908,0.0002419572,0.00001479251],"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":[0.00001726424,0.00001495026,0.001287068,0.0003117336,0.00001869911,0.000002953709,0.000002795334,0.000004100064,9.051809e-9,0.000002139226,0.9966725,0.001665847],"study_design_scores_gemma":[0.0001859226,0.000004907374,0.0002571726,0.000003833462,0.00005313262,5.196493e-7,0.0002145177,4.726494e-7,2.328649e-7,0.00001690869,0.9989802,0.0002821877],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003642014,0.000008251493,0.000002060982,0.000486734,0.0008649676,0.0002458534,0.9968286,0.0008018129,0.0003975881],"genre_scores_gemma":[0.00001362308,0.00003973943,4.63738e-7,0.001129535,0.000008456747,0.000004724848,0.9988031,2.271879e-8,2.920334e-7],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7910395,"threshold_uncertainty_score":0.9999814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02118016115945828,"score_gpt":0.2110622236844495,"score_spread":0.1898820625249912,"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."}}