{"id":"W6905982929","doi":"10.15468/dl.xhdxku","title":"Occurrence Download","year":2024,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Herbarium; Extant taxon; Geodetic datum; Download; Phenology; Matching (statistics)","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":["insufficient_payload"],"category_scores_codex":[0.0008579137,0.002353928,0.00190541,0.006581511,0.001282652,0.004094466,0.002692495,0.00199694,0.3455933],"category_scores_gemma":[0.006280455,0.0009819111,0.001591539,0.01028628,0.0003532338,0.003982389,0.003684,0.002163948,0.4355085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00141747,"about_ca_system_score_gemma":0.001917808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01334083,"about_ca_topic_score_gemma":0.02399031,"domain_scores_codex":[0.998808,0.0001297088,0.0001698611,0.0004454702,0.0002564594,0.000190458],"domain_scores_gemma":[0.997404,0.0006635248,0.0002015146,0.0006672574,0.0007283799,0.0003351982],"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":[0.00004105203,0.00001196855,0.0002885034,0.0004508269,0.00001148953,0.00002040946,0.00002100712,0.00008063619,0.00008769343,0.0004065586,0.9955722,0.003007613],"study_design_scores_gemma":[0.00005925011,0.00001139019,0.001159982,0.0001445431,0.00001229402,0.00004547744,0.00007351628,0.0002307666,0.0001549186,0.001229182,0.9968605,0.00001814158],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006831072,0.00005532024,0.0001439647,0.00007143503,0.00003380868,0.00001337041,0.9950933,0.001918907,0.002601406],"genre_scores_gemma":[0.0002553785,0.000060046,0.0005321468,0.00009117975,0.00001199926,0.00005725511,0.9968345,0.0005615964,0.001596036],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6544067,"threshold_uncertainty_score":0.9334317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}