{"id":"W4396206857","doi":"10.15468/dl.eggd8f","title":"Occurrence Download","year":2019,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Computer science; World Wide Web","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":[0.0009410542,0.002114943,0.001772701,0.004316161,0.001064854,0.002964535,0.003297182,0.002122423,0.1210565],"category_scores_gemma":[0.005274788,0.0008994687,0.001264219,0.009190997,0.0004761116,0.002265375,0.00261397,0.002163761,0.2107707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001702438,"about_ca_system_score_gemma":0.002509152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01945006,"about_ca_topic_score_gemma":0.03222715,"domain_scores_codex":[0.9990393,0.0001282964,0.0001218332,0.0003571581,0.0002077042,0.0001457939],"domain_scores_gemma":[0.998168,0.0004883784,0.0001513854,0.0005090614,0.0004601316,0.0002231032],"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":[0.00004169356,0.00001426914,0.0004080423,0.0007167442,0.00002143206,0.00002136295,0.00002539399,0.0001834804,0.0001751472,0.0005137356,0.996078,0.001800698],"study_design_scores_gemma":[0.00007633992,0.000008020252,0.001524741,0.0001807953,0.00001579198,0.00004128497,0.0000599964,0.0002090435,0.00024589,0.00101942,0.9966001,0.00001861697],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004416046,0.0000394042,0.00005860122,0.00003831111,0.00001221907,0.000005820935,0.9986151,0.0005581174,0.0006282052],"genre_scores_gemma":[0.0001311393,0.00004028103,0.000193976,0.00004196357,0.000002550508,0.00003552318,0.9990296,0.0001368946,0.0003880418],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8789434,"threshold_uncertainty_score":0.4049744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01548355260082225,"score_gpt":0.2151823696931447,"score_spread":0.1996988170923225,"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."}}