{"id":"W4398335244","doi":"10.7910/dvn/7zzkc7/5x6efx","title":"METEC_replication_repairs.R","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","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":[0.0002934362,0.0003359452,0.0004285205,0.0001197937,0.0001263457,0.0004556438,0.003870245,0.000224294,0.0009969441],"category_scores_gemma":[0.0001849271,0.0003265979,0.0001832513,0.0004735022,0.00003864394,0.0003028356,0.001390935,0.0003951872,0.3814096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000537384,"about_ca_system_score_gemma":0.000204476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001085662,"about_ca_topic_score_gemma":0.000004532439,"domain_scores_codex":[0.9976032,0.000152122,0.0004554381,0.0009478631,0.0005121829,0.0003292062],"domain_scores_gemma":[0.995994,0.00009749577,0.0003526487,0.003201383,0.00009746369,0.0002569882],"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":[0.000002584206,0.00003168453,4.426324e-7,0.00008566064,0.00005705545,0.00008782613,0.00001305573,0.00004609896,0.000002534649,0.0008772635,0.998507,0.000288853],"study_design_scores_gemma":[0.000166187,0.00003923148,0.000003639236,0.00004377144,0.00002731966,0.0000383227,0.00000295398,0.002968614,0.000004618035,0.00007878685,0.9962752,0.0003513418],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[1.184584e-7,0.000001378121,0.1087661,0.00004174416,0.0009506203,0.0002247503,0.8893095,0.000398417,0.0003073737],"genre_scores_gemma":[0.00001734737,0.00005297462,0.003503437,0.0009594654,0.0003173263,0.00002709239,0.9949465,0.00001121053,0.0001645887],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3804126,"threshold_uncertainty_score":0.9999186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01949966032503094,"score_gpt":0.2422532060373163,"score_spread":0.2227535457122853,"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."}}