{"id":"W4393512234","doi":"10.5281/zenodo.4719160","title":"Automated Support for Searching and Selecting Evidence in Software Engineering: A Cross-domain Systematic Mapping","year":2021,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","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":"Computer science; Software engineering; Domain (mathematical analysis); Software; Systems engineering; Data mining; Engineering; 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":[0.01309008,0.001731193,0.004730072,0.02331924,0.001367806,0.003449471,0.00275378,0.002616687,0.05119953],"category_scores_gemma":[0.1160874,0.001429202,0.005102003,0.02089166,0.0006592979,0.002194318,0.005578764,0.001841507,0.008579708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003430563,"about_ca_system_score_gemma":0.01177092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01121445,"about_ca_topic_score_gemma":0.03847362,"domain_scores_codex":[0.979791,0.005906399,0.009785433,0.002017717,0.002039463,0.0004599805],"domain_scores_gemma":[0.8842937,0.0831794,0.01292055,0.007527065,0.01081364,0.001265597],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002604446,0.0001626798,0.009231255,0.5671105,0.009385158,0.0003998216,0.001173537,0.001765777,0.002000579,0.003635961,0.3298576,0.07267269],"study_design_scores_gemma":[0.008688099,0.0003950309,0.03796126,0.1759106,0.02136119,0.0006289902,0.0008846657,0.001072207,0.002305083,0.007671949,0.7428027,0.0003181921],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001522475,0.00582444,0.001188387,0.0003062868,0.00003072254,0.001497845,0.9881238,0.0002884265,0.001217543],"genre_scores_gemma":[0.01451654,0.009199218,0.02323081,0.0008284982,0.0000404259,0.02470985,0.9256991,0.0003037954,0.001471704],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9869099,"threshold_uncertainty_score":0.1712795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04303093214927008,"score_gpt":0.2823480291929469,"score_spread":0.2393170970436769,"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."}}