{"id":"W4398380165","doi":"10.7910/dvn/0viyxt/9abrjt","title":"replication.R","year":2019,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Chemistry and Stereochemistry Studies","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Replication (statistics); Computer science; Biology; Virology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004550501,0.004082839,0.003739539,0.00475989,0.001802701,0.007415905,0.006603058,0.002603219,0.2958627],"category_scores_gemma":[0.03092538,0.001463145,0.003150891,0.008537809,0.00116748,0.003415139,0.004204633,0.003619405,0.3663143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001623016,"about_ca_system_score_gemma":0.004228333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01366824,"about_ca_topic_score_gemma":0.01935649,"domain_scores_codex":[0.9967431,0.0008643388,0.000286322,0.001314079,0.0004587125,0.0003333763],"domain_scores_gemma":[0.9910395,0.003005489,0.0004308429,0.003800258,0.001122707,0.0006012577],"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":[0.0000621666,0.000007568554,0.0002157178,0.0005459948,0.00007079353,0.0000128719,0.0000151709,0.0001649082,0.00005553427,0.0005985284,0.9968952,0.001355592],"study_design_scores_gemma":[0.0005506619,0.00002136375,0.0009455855,0.0003865354,0.0000946926,0.00005430193,0.00003706928,0.0005473205,0.0003100578,0.007980268,0.9890265,0.00004564259],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006877555,0.0001270282,0.0003722807,0.0002147641,0.0001021542,0.00001916223,0.9937267,0.003883233,0.001485791],"genre_scores_gemma":[0.0009031388,0.0001683862,0.001350097,0.0002190309,0.00005229601,0.0002304044,0.9926994,0.002434785,0.001942455],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7041373,"threshold_uncertainty_score":0.9897593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02509200298972951,"score_gpt":0.2625271194280283,"score_spread":0.2374351164382988,"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."}}