{"id":"W6887142125","doi":"10.15468/dl.ueupp2","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":"Matching (statistics); Range (aeronautics); Set (abstract data type); Identification (biology); Download","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":[0.0009241562,0.002380814,0.00166161,0.004435565,0.001018854,0.002575145,0.003095842,0.002028247,0.1209653],"category_scores_gemma":[0.005305148,0.0009131199,0.001268623,0.008906234,0.0004705162,0.002201921,0.002479966,0.002004934,0.185256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001693997,"about_ca_system_score_gemma":0.002486929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02323304,"about_ca_topic_score_gemma":0.04030666,"domain_scores_codex":[0.9990153,0.0001337667,0.0001225802,0.0003570565,0.0002204384,0.0001508389],"domain_scores_gemma":[0.9980406,0.000534696,0.0001756245,0.0005128095,0.0005014908,0.0002348062],"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":[0.00004171803,0.00001484962,0.0004433404,0.0006220138,0.00001907537,0.00001981409,0.00002631573,0.0001893365,0.0001623337,0.000503052,0.9962444,0.001713638],"study_design_scores_gemma":[0.00008628011,0.00001012257,0.001695121,0.0001736946,0.0000163295,0.00004469443,0.0000678131,0.000242854,0.0002530951,0.00104932,0.9963405,0.00002012382],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005820515,0.00003826047,0.00006331826,0.00003613237,0.00001170401,0.000005943757,0.9984531,0.0006334441,0.0006998684],"genre_scores_gemma":[0.0001556388,0.00003755404,0.0002442377,0.00004049534,0.000002519796,0.00003394957,0.9989116,0.0001641213,0.0004097947],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8790346,"threshold_uncertainty_score":0.4046694,"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."}}