{"id":"W4395816833","doi":"10.15468/dl.chg7wr","title":"Occurrence Download","year":2023,"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":[0.0009651658,0.002353936,0.00182757,0.004529881,0.001108413,0.00272116,0.003183909,0.002249174,0.1324691],"category_scores_gemma":[0.005352293,0.0009269225,0.001301959,0.009360284,0.0004814182,0.002208506,0.002618867,0.002147003,0.2121381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00169177,"about_ca_system_score_gemma":0.002494526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02240106,"about_ca_topic_score_gemma":0.03707953,"domain_scores_codex":[0.9990108,0.0001328591,0.0001177704,0.000349036,0.0002290442,0.0001604804],"domain_scores_gemma":[0.9980556,0.0005328796,0.0001670061,0.0005222164,0.0004774629,0.0002449034],"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":[0.00003642214,0.00001305711,0.0003459872,0.0005620974,0.00001744127,0.00001820929,0.00002389903,0.0001603037,0.0001360191,0.0003921101,0.9968191,0.001475207],"study_design_scores_gemma":[0.00009599805,0.000009618377,0.001677005,0.000186457,0.00001703971,0.00004678094,0.00007158143,0.0002521755,0.0002485573,0.001039476,0.9963342,0.00002121346],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000479327,0.00003597235,0.00005587991,0.00003989153,0.00001219067,0.000005935315,0.998629,0.0005591763,0.0006141484],"genre_scores_gemma":[0.0001504687,0.00003625259,0.0002141239,0.00004280064,0.00000290526,0.00004041003,0.9989741,0.000153406,0.0003855911],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8675309,"threshold_uncertainty_score":0.4431532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01572208263818967,"score_gpt":0.2176389109850072,"score_spread":0.2019168283468175,"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."}}