{"id":"W4393889879","doi":"10.5281/zenodo.6250665","title":"Data and Weights for Reverse Homology","year":2021,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Topological and Geometric Data Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Homology (biology); Computational biology; Computer science; Biology; Evolutionary biology; Genetics; Gene","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["open_science","insufficient_payload"],"category_scores_codex":[0.0008186787,0.0001900952,0.0003130693,0.0004346501,0.001430536,0.001257773,0.005569025,0.0001678774,0.00454498],"category_scores_gemma":[0.001919885,0.0001726301,0.00005844933,0.001153053,0.000179628,0.0004037108,0.01213484,0.0003189249,0.002025636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004429054,"about_ca_system_score_gemma":0.000007792923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003879197,"about_ca_topic_score_gemma":0.000002105799,"domain_scores_codex":[0.9976149,0.000329648,0.0002834626,0.001090942,0.0003089245,0.0003721412],"domain_scores_gemma":[0.9967815,0.0001143829,0.0001615376,0.002352529,0.0003954581,0.0001946141],"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":[0.000006421913,0.00007629161,6.470038e-8,0.00005985015,0.00006825493,0.00004282521,0.00001529111,6.193403e-7,0.000005063246,0.00168826,0.9615542,0.03648291],"study_design_scores_gemma":[0.0002378385,0.0001435198,0.00001210879,0.0000154093,0.00005497816,0.000155308,0.00002090965,0.0004691845,0.000003678011,0.0005532038,0.9981281,0.0002057744],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000006963363,0.000402255,0.04005723,0.001376654,0.0001576546,0.0002308264,0.9568347,0.000199797,0.0007339478],"genre_scores_gemma":[0.00001705911,0.00099764,0.00335978,0.0003586679,0.0001661656,4.526687e-8,0.994391,0.0001917964,0.0005179021],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03755627,"threshold_uncertainty_score":0.9998695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06337598371883695,"score_gpt":0.2774712107476321,"score_spread":0.2140952270287951,"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."}}