{"id":"W4388190842","doi":"10.2139/ssrn.4615254","title":"A First Look at Information Highlighting in Stack Overflow Answers","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Software Engineering Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University; University of Manitoba","funders":"","keywords":"Stack (abstract data type); Computer science; Data science; Programming language","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":[0.002905813,0.0006361539,0.0008160772,0.00518401,0.002581078,0.005486329,0.001319706,0.002821127,0.03161424],"category_scores_gemma":[0.03422333,0.0005380274,0.0006646247,0.005259862,0.002053953,0.01414801,0.003111741,0.002521258,0.004700232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001360837,"about_ca_system_score_gemma":0.001331107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003725517,"about_ca_topic_score_gemma":0.00376043,"domain_scores_codex":[0.9960522,0.0009631165,0.000244167,0.0003799991,0.001740552,0.0006200245],"domain_scores_gemma":[0.9766822,0.01555629,0.001379057,0.001782946,0.004110459,0.0004890938],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002082413,0.0003368767,0.02242662,0.002213789,0.0001072246,0.004635714,0.02166068,0.004330699,0.04367969,0.2892643,0.1079407,0.5013213],"study_design_scores_gemma":[0.0001170797,0.0007006826,0.01869214,0.001784776,0.0002483691,0.005731811,0.01472965,0.03269346,0.07050043,0.2263115,0.628114,0.0003760193],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3183223,0.01953841,0.3387772,0.03142255,0.002599161,0.0005455314,0.006747891,0.02000771,0.2620393],"genre_scores_gemma":[0.8291051,0.004275134,0.09886676,0.003936628,0.001528906,0.00009896559,0.00296948,0.003374557,0.05584443],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03161424,"threshold_uncertainty_score":0.1057602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0132667349435727,"score_gpt":0.2475286314660525,"score_spread":0.2342618965224798,"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."}}