{"id":"W6943316392","doi":"10.15468/dl.nj987t","title":"Occurrence Download","year":2021,"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); Range (aeronautics); Data set; Set (abstract data type)","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":[0.001088919,0.001965788,0.001735897,0.00546169,0.0009597172,0.002510581,0.002872708,0.002153184,0.1508628],"category_scores_gemma":[0.006575836,0.0009181997,0.001195609,0.01093975,0.0004552052,0.002230237,0.002377847,0.001997051,0.2006146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001616611,"about_ca_system_score_gemma":0.002360832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02038929,"about_ca_topic_score_gemma":0.03256485,"domain_scores_codex":[0.9988179,0.0001621253,0.0001649016,0.0003996906,0.0002675469,0.0001878192],"domain_scores_gemma":[0.9971249,0.0008439618,0.000279058,0.0007368604,0.0006995041,0.0003157088],"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":[0.00003421791,0.00001301555,0.0004237424,0.0006184201,0.00001752538,0.00001615153,0.00002226653,0.0001501108,0.0001271153,0.0003671874,0.9967337,0.001476741],"study_design_scores_gemma":[0.00009218813,0.00001014315,0.002307276,0.0002195596,0.00001742582,0.00004125118,0.00007395898,0.0001752887,0.0002029674,0.0007445415,0.996096,0.00001948932],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003904592,0.00002497028,0.00003374099,0.00002995496,0.000009322306,0.000004817967,0.9991325,0.0002684714,0.000457242],"genre_scores_gemma":[0.0001473241,0.00002988373,0.0001582609,0.00003593997,0.000003110516,0.00003897015,0.999128,0.00009710337,0.0003613702],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8491372,"threshold_uncertainty_score":0.5046863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878725496536469,"score_gpt":0.2292776369319846,"score_spread":0.2104903819666199,"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."}}