{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001188363,0.0004761274,0.0004967285,0.00002990725,0.0001274938,0.00008490289,0.0011949,0.0005381262,0.1286171],"category_scores_gemma":[0.0004858727,0.0004937835,0.0001965124,0.00008288465,0.0001132626,0.0001075182,0.0007438493,0.0006372039,0.1370884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000124788,"about_ca_system_score_gemma":0.0001123282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004715271,"about_ca_topic_score_gemma":0.000005077108,"domain_scores_codex":[0.9977154,0.000008788217,0.0004194898,0.001107474,0.0003720273,0.0003768552],"domain_scores_gemma":[0.9934024,0.000107585,0.0003226875,0.005948551,0.00009069779,0.0001281449],"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":[0.0000343291,0.0000776473,0.00001213068,0.00143817,0.0001674434,0.00004281718,0.000006838406,8.054068e-7,0.004454452,0.000001337059,0.9936576,0.000106414],"study_design_scores_gemma":[0.0003537266,0.000004515925,0.000001500493,0.0001666408,0.0001708107,0.00003932166,0.00005770602,0.000003476018,0.01386874,0.000007985234,0.9848027,0.0005228891],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006747554,0.000005208378,0.00000106092,0.000007831683,0.0002102007,0.00006771037,0.9823025,0.00007874256,0.01725923],"genre_scores_gemma":[0.00002627587,0.0004319452,0.00003456206,0.000144108,0.000629477,0.00004858105,0.9739376,0.00002664725,0.02472085],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.009414289,"threshold_uncertainty_score":0.9997514,"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."}}