{"id":"W6924583339","doi":"10.15468/dl.qkrr6h","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Retinoids in leukemia and cellular processes","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Data set","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":[0.0009875195,0.002198863,0.001753618,0.004587993,0.00101322,0.002605814,0.003009069,0.00233596,0.1228128],"category_scores_gemma":[0.00530104,0.0008516302,0.001182201,0.008911409,0.00048069,0.002296795,0.002505,0.002145594,0.1849252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00161461,"about_ca_system_score_gemma":0.00225686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01931775,"about_ca_topic_score_gemma":0.03413769,"domain_scores_codex":[0.9990061,0.0001496773,0.0001151196,0.0003648562,0.0002149151,0.0001492617],"domain_scores_gemma":[0.9979665,0.000580116,0.0001811869,0.0005302507,0.0004867103,0.0002552037],"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":[0.00004220609,0.00001696833,0.0004376065,0.0007036466,0.00002000903,0.00002007109,0.0000230671,0.0001852197,0.0001441773,0.0004225182,0.9964241,0.001560339],"study_design_scores_gemma":[0.0001032408,0.000009648683,0.001629841,0.0001982618,0.00001599141,0.00003958168,0.00006376688,0.0001984304,0.0002123336,0.0008698987,0.9966409,0.00001802395],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005052664,0.00004034352,0.00004259537,0.00003988932,0.00001136627,0.000005991402,0.9988167,0.0003871093,0.0006054533],"genre_scores_gemma":[0.0001648849,0.00004190827,0.0001916132,0.0000455404,0.00000312609,0.00003793517,0.9989938,0.0001087948,0.0004124792],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8771872,"threshold_uncertainty_score":0.4108498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008365062124701417,"score_gpt":0.2134097732130147,"score_spread":0.2050447110883133,"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."}}