{"id":"W4393585945","doi":"10.5281/zenodo.4719161","title":"Automated Support for Searching and Selecting Evidence in Software Engineering: A Cross-domain Systematic Mapping","year":2021,"lang":"en","type":"dataset","venue":"Figshare","topic":"Software Engineering Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Domain (mathematical analysis); Software engineering; Computer science; Software; Data mining; Data science; Programming language; Mathematics","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01824543,0.001649923,0.004599412,0.02802405,0.001837965,0.003884231,0.002901901,0.002719481,0.05830337],"category_scores_gemma":[0.1732443,0.001580926,0.005684869,0.02432419,0.0006888138,0.002728943,0.007180141,0.001992889,0.009311719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003242867,"about_ca_system_score_gemma":0.01336788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01124956,"about_ca_topic_score_gemma":0.04418327,"domain_scores_codex":[0.9740303,0.008046336,0.01212296,0.002448987,0.002774993,0.0005763994],"domain_scores_gemma":[0.8191742,0.1324601,0.01682717,0.01222405,0.01758565,0.00172877],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.002369921,0.0001749013,0.0112622,0.5079411,0.008712809,0.0004316218,0.001826864,0.001679793,0.002029538,0.00397341,0.3629417,0.09665603],"study_design_scores_gemma":[0.009902869,0.0003928604,0.04254204,0.1659156,0.02137222,0.0005960391,0.001232357,0.00117202,0.002273214,0.009381855,0.7448384,0.0003805357],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"dataset","genre_gemma":"review","genre_scores_codex":[0.002221936,0.005913953,0.001953642,0.0004912464,0.00004316153,0.002714389,0.9842552,0.0004766394,0.001929931],"genre_scores_gemma":[0.02259602,0.01044054,0.05001122,0.001414479,0.00006465174,0.05157857,0.8610576,0.0005898016,0.002247093],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.9817545,"threshold_uncertainty_score":0.1950442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06964552652961997,"score_gpt":0.3342136661265946,"score_spread":0.2645681395969746,"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."}}