{"id":"W4398918910","doi":"10.7910/dvn/q20fb7/jpsy5o","title":"analysis.Rmd","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Replication (statistics); Computer science; Computational biology; 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":[0.0003853596,0.0003500077,0.0006697144,0.0003282706,0.0001346127,0.0002831836,0.003306293,0.0002982697,0.002868442],"category_scores_gemma":[0.0001678058,0.0002986207,0.0003822323,0.001542126,0.00006510689,0.0006439221,0.001493464,0.0004604163,0.3127933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007916552,"about_ca_system_score_gemma":0.0002194891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002701418,"about_ca_topic_score_gemma":0.00006574055,"domain_scores_codex":[0.9974451,0.0001250413,0.0004739206,0.0009881919,0.0006021142,0.0003656427],"domain_scores_gemma":[0.9956315,0.00008905632,0.0002673992,0.003675101,0.00009069417,0.0002462331],"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":[0.000005119794,0.00003685825,0.00008684275,0.0001283131,0.0004110973,0.00008333533,0.00002560439,0.00002863112,4.536766e-7,0.00002204796,0.9988281,0.0003436567],"study_design_scores_gemma":[0.0001700734,0.00003812969,0.0002087902,0.00002156527,0.0004406472,0.000007161134,0.000005761979,0.001431746,0.000004125797,0.0000143941,0.9973083,0.000349306],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000003042188,0.000001259658,0.01460514,0.00002116163,0.001086588,0.00020541,0.9837788,0.0002303799,0.00006826871],"genre_scores_gemma":[0.00003309443,0.0001354055,0.001621334,0.0007763656,0.0002731178,0.00002217871,0.99706,0.00000800434,0.00007048239],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3099249,"threshold_uncertainty_score":0.9999466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0135747886067848,"score_gpt":0.2378110926025422,"score_spread":0.2242363039957574,"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."}}