{"id":"W2165929464","doi":"10.1109/icsm.2009.5306310","title":"What's hot and what's not: Windowed developer topic analysis","year":2009,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":104,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Latent Dirichlet allocation; Computer science; Topic model; Commit; Focus (optics); Set (abstract data type); Data science; Search engine indexing; Timeline; Undo; World Wide Web; Information retrieval; Programming language; Database","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":[0.00295205,0.0004068518,0.00044984,0.005146521,0.0005994088,0.001745696,0.0005713108,0.0005253687,0.001197728],"category_scores_gemma":[0.01187005,0.0002866135,0.0005098085,0.004419975,0.0003972835,0.002669645,0.0009148738,0.0007384859,0.0004163687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006059975,"about_ca_system_score_gemma":0.0006900063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008682476,"about_ca_topic_score_gemma":0.007818936,"domain_scores_codex":[0.9990357,0.0003243043,0.0000775139,0.0002685799,0.0001983661,0.00009543442],"domain_scores_gemma":[0.9917392,0.005233855,0.001057863,0.0006598514,0.0009882395,0.0003209945],"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":[0.001387492,0.0002427015,0.1315624,0.0006323319,0.0003550834,0.0007123363,0.02451286,0.02063732,0.02374835,0.02028226,0.0244638,0.751463],"study_design_scores_gemma":[0.0001480164,0.0003632347,0.2046305,0.0003440946,0.0004188923,0.001317291,0.01202755,0.6145795,0.01815146,0.06648023,0.0812129,0.0003263364],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4972103,0.0033231,0.4835,0.001369323,0.0002150103,0.0003123196,0.005068612,0.004005082,0.004996284],"genre_scores_gemma":[0.8281857,0.0008407524,0.1662701,0.00008802094,0.000122225,0.0003158781,0.002227186,0.0003612751,0.00158886],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008682476,"threshold_uncertainty_score":0.01726389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01648744854294517,"score_gpt":0.2664805363448053,"score_spread":0.2499930878018602,"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."}}