{"id":"W4398856914","doi":"10.7910/dvn/v6hxiz/olhzcn","title":"EVS_to_merge.tab","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Merge (version control); Computer science; Information retrieval","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":["insufficient_payload"],"category_scores_codex":[0.001726153,0.002705502,0.001874173,0.005745747,0.001324083,0.003642818,0.003307598,0.002624922,0.384824],"category_scores_gemma":[0.01077711,0.0009198494,0.001969446,0.008447823,0.0006737396,0.002978425,0.003010668,0.001932689,0.2611947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002055286,"about_ca_system_score_gemma":0.002906188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01816683,"about_ca_topic_score_gemma":0.04126081,"domain_scores_codex":[0.9986089,0.0002514326,0.0001554738,0.0004866647,0.0002346991,0.0002628228],"domain_scores_gemma":[0.9948001,0.002039649,0.0003942108,0.001146683,0.001190378,0.0004289717],"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":[0.00004412024,0.00001316297,0.000331755,0.0006634467,0.0000253226,0.00001053881,0.00001752405,0.0001124464,0.00005934033,0.0003931571,0.997189,0.001140286],"study_design_scores_gemma":[0.0002946293,0.00001919895,0.00192881,0.0003117496,0.00003902152,0.00004983509,0.00007815741,0.0002084655,0.0003674019,0.002007633,0.9946582,0.00003698785],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004618294,0.00004020706,0.00004078803,0.00004684842,0.00002214449,0.000008733832,0.9986349,0.0004092924,0.0007507929],"genre_scores_gemma":[0.0003908007,0.00004516604,0.000317666,0.00008771144,0.00001291838,0.00007815321,0.9977035,0.0003417654,0.001022366],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.615176,"threshold_uncertainty_score":0.877474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0238317476172692,"score_gpt":0.2569388972872796,"score_spread":0.2331071496700104,"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."}}