{"id":"W6943598521","doi":"10.15468/dl.tqfj2y","title":"Occurrence Download","year":2022,"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); Listing (finance); Range (aeronautics); Column (typography)","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":["insufficient_payload"],"category_scores_codex":[0.0007066372,0.0005367878,0.0004756705,0.0002465775,0.0008625226,0.0002477133,0.001429588,0.0003965067,0.1686608],"category_scores_gemma":[0.0003380831,0.0006213338,0.0003109487,0.001009344,0.0003040441,0.001965404,0.001537682,0.0007989779,0.944366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002009799,"about_ca_system_score_gemma":0.0003965388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001467613,"about_ca_topic_score_gemma":0.00003107196,"domain_scores_codex":[0.9965747,0.0002324967,0.0006761572,0.000419741,0.001514958,0.0005819319],"domain_scores_gemma":[0.9974269,0.00003125831,0.000744754,0.001152112,0.0003475556,0.0002973765],"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":[0.000162043,0.0000863591,0.0008067281,0.0001681912,0.00006607484,0.000006766219,0.0000565885,0.00004015787,3.553012e-8,5.251434e-8,0.998113,0.0004939677],"study_design_scores_gemma":[0.0005870592,0.00005838701,0.00007510815,0.000001107762,0.0001149744,0.00001448839,0.0002872708,8.102819e-8,9.146867e-7,5.6301e-7,0.9982699,0.000590132],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002506131,0.00002353878,5.223601e-7,0.000069033,0.001055444,0.0006292356,0.9973583,0.0003485285,0.0002647544],"genre_scores_gemma":[0.000003158946,0.00003344689,6.469047e-7,0.0005509984,0.000001152532,0.0000151509,0.9993954,2.567839e-8,7.672671e-8],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7757052,"threshold_uncertainty_score":0.9996238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}