{"id":"W6943437726","doi":"10.15468/dl.7c996f","title":"Occurrence Download","year":2025,"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; Matching (statistics); Range (aeronautics); 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":[0.0009491317,0.002378917,0.001704573,0.004188783,0.001127629,0.002656993,0.003380202,0.002364842,0.1186138],"category_scores_gemma":[0.005528544,0.000923624,0.001371597,0.008085064,0.0004999232,0.002475805,0.002585313,0.0022422,0.1885807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001726288,"about_ca_system_score_gemma":0.002490025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02358649,"about_ca_topic_score_gemma":0.04159214,"domain_scores_codex":[0.9989995,0.0001358995,0.0001186436,0.0003627245,0.0002301447,0.0001530821],"domain_scores_gemma":[0.9978968,0.0005824353,0.0001677389,0.0006028811,0.0005070739,0.0002429918],"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":[0.00003764862,0.00001479702,0.0003640948,0.0005175965,0.00001728185,0.00001967839,0.00002230748,0.0001785861,0.0001321763,0.0004373288,0.9967626,0.001495842],"study_design_scores_gemma":[0.0001035185,0.00001071788,0.001721468,0.0001790638,0.000016399,0.0000533364,0.00007275303,0.0003187823,0.000272302,0.001190761,0.9960392,0.00002176972],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005912836,0.0000394132,0.00006798296,0.00005063086,0.0000138858,0.000006961448,0.9983297,0.0007388629,0.0006933577],"genre_scores_gemma":[0.0001574322,0.00003486624,0.0002342766,0.00004664141,0.000002885675,0.00003589871,0.9989495,0.0001549,0.0003837147],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8813862,"threshold_uncertainty_score":0.3968026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009961927714944863,"score_gpt":0.2117773390425523,"score_spread":0.2018154113276075,"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."}}