{"id":"W4398523279","doi":"10.7910/dvn/j1fqw9/0ypmbp","title":"Data_for_replication.tab","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","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":[0.004365268,0.002345566,0.002442644,0.005618694,0.001627343,0.006283756,0.005038221,0.003257813,0.4884121],"category_scores_gemma":[0.03198981,0.001523181,0.002284184,0.009626653,0.001039351,0.003572556,0.003798093,0.002196292,0.3188865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002246884,"about_ca_system_score_gemma":0.004787657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01514253,"about_ca_topic_score_gemma":0.0171367,"domain_scores_codex":[0.9965383,0.0007127352,0.0005520524,0.001035483,0.0006814072,0.0004801092],"domain_scores_gemma":[0.9855401,0.004493451,0.0008232955,0.004809746,0.003163872,0.001169469],"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":[0.00007619827,0.00001684689,0.0003375916,0.0008522411,0.00004425256,0.00001135472,0.00002525967,0.00008808641,0.00007672028,0.0007460616,0.9959649,0.001760423],"study_design_scores_gemma":[0.0007308648,0.00001783944,0.001456741,0.0005579597,0.00004998125,0.00003406281,0.0000619331,0.0002068919,0.0004609922,0.002963402,0.9934095,0.0000498871],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003645092,0.00003066181,0.0000920527,0.00009564603,0.00006126643,0.00002799404,0.9978563,0.0005943729,0.001205232],"genre_scores_gemma":[0.0008075238,0.00008398853,0.0007577684,0.0002141883,0.00004279368,0.0004617013,0.9948522,0.0009183621,0.001861407],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4884121,"threshold_uncertainty_score":0.7297181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1210132456331374,"score_gpt":0.3641090757853191,"score_spread":0.2430958301521818,"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."}}