{"id":"W2949142318","doi":"10.48550/arxiv.1807.02274","title":"Recommending Relevant Sections from a Webpage about Programming Errors\\n and Exceptions","year":2018,"lang":"","type":"preprint","venue":"arXiv (Cornell University)","topic":"Software Engineering Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Web page; Computer science; Context (archaeology); World Wide Web; Information retrieval; Software; The Internet; Precision and recall; Page view; Static web page; Web development; 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":[0.0004100603,0.001213134,0.0006779391,0.00452904,0.0006005172,0.001076155,0.0007416779,0.0009351515,0.004043635],"category_scores_gemma":[0.004490876,0.0005099285,0.0007780682,0.002220891,0.0002116394,0.001567723,0.0004512065,0.0008212324,0.004154874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002877613,"about_ca_system_score_gemma":0.001305917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00637728,"about_ca_topic_score_gemma":0.01869426,"domain_scores_codex":[0.999559,0.00006320874,0.00003793521,0.0001241861,0.0001858643,0.0000298155],"domain_scores_gemma":[0.9976977,0.0008948767,0.0002758927,0.0002536163,0.0007004719,0.0001774515],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005194112,0.0007272296,0.03471113,0.00164043,0.0002028086,0.0006427941,0.0007000625,0.004555351,0.04108191,0.0009763163,0.05294668,0.8612959],"study_design_scores_gemma":[0.0002579649,0.001933656,0.1558539,0.001271509,0.001809893,0.005245436,0.003076532,0.4439585,0.1451699,0.008760158,0.2322854,0.0003771565],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5504065,0.01293184,0.3268157,0.002239811,0.001006035,0.001971956,0.01113664,0.06371412,0.02977736],"genre_scores_gemma":[0.4843555,0.004590812,0.4636665,0.0004715148,0.0004430892,0.0003906603,0.01805351,0.001225226,0.02680322],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.00637728,"threshold_uncertainty_score":0.01352733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08752907531005548,"score_gpt":0.2231787846144205,"score_spread":0.135649709304365,"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."}}