{"id":"W3195370809","doi":"","title":"A Systematic Literature Review of Automated Query Reformulations in Source Code Search.","year":2021,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Software Engineering Research","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; Information retrieval; Table (database); Software; Source code; Code (set theory); World Wide Web; Data mining; Programming language; Set (abstract data type)","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":[],"consensus_categories":[],"category_scores_codex":[0.04137504,0.002015628,0.005416095,0.04285841,0.001529885,0.004038989,0.004456471,0.002485841,0.006789794],"category_scores_gemma":[0.1616191,0.001453793,0.005169638,0.03957432,0.002100411,0.007833536,0.004587494,0.001790832,0.00126591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008683827,"about_ca_system_score_gemma":0.03991992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01303672,"about_ca_topic_score_gemma":0.03475593,"domain_scores_codex":[0.9628087,0.01518716,0.01240526,0.002079103,0.006917567,0.0006022691],"domain_scores_gemma":[0.8387113,0.1256151,0.01341236,0.003129223,0.0182376,0.0008943513],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001223735,0.00003031344,0.0007589524,0.8980345,0.001330013,0.0001543217,0.001507034,0.0001316056,0.0003384619,0.0006949094,0.004877529,0.09202],"study_design_scores_gemma":[0.0001185034,0.000190654,0.002767593,0.9379286,0.009359385,0.0003694017,0.001793492,0.0001635673,0.0004355296,0.0007903582,0.04602658,0.0000563922],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002907244,0.9869232,0.002018515,0.001201265,0.0002147965,0.002387417,0.002473273,0.00007874276,0.001795651],"genre_scores_gemma":[0.02850088,0.9445784,0.01289996,0.0023006,0.0001220565,0.007614967,0.00340243,0.00006970971,0.0005110661],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.04285841,"threshold_uncertainty_score":0.2188147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04684486193717077,"score_gpt":0.2237636686466827,"score_spread":0.1769188067095119,"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."}}