{"id":"W2090439194","doi":"10.1080/10618600.2000.10474890","title":"Users, Programmers, and Statistical Software","year":2000,"lang":"en","type":"article","venue":"Journal of Computational and Graphical Statistics","topic":"Data Stream Mining Techniques","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bell (Canada)","funders":"","keywords":"Computer science; Software analytics; Software engineering; Software; Programmer; Software construction; Data science; Software development; Human–computer interaction; 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":[0.05856427,0.0006382558,0.001061706,0.003299369,0.002431658,0.01362508,0.002266777,0.002362863,0.012653],"category_scores_gemma":[0.2178682,0.001379741,0.0005416956,0.004405489,0.005902857,0.01410335,0.00693232,0.003894586,0.004045285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001519416,"about_ca_system_score_gemma":0.006059704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001678178,"about_ca_topic_score_gemma":0.001255649,"domain_scores_codex":[0.9383633,0.0426232,0.004701988,0.003246309,0.009588648,0.001476594],"domain_scores_gemma":[0.5691357,0.3445128,0.01184187,0.02504214,0.0361127,0.01335479],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00100104,0.0003715206,0.05530204,0.001156562,0.0001193599,0.0009825022,0.01802438,0.00279114,0.005913158,0.2816639,0.1048044,0.5278701],"study_design_scores_gemma":[0.0003171257,0.0008405881,0.01850892,0.001875504,0.0002344172,0.003195462,0.01675988,0.07022974,0.008820388,0.500324,0.3784856,0.0004084283],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.108487,0.004955255,0.7046064,0.09678338,0.001289457,0.0005064529,0.0003689954,0.01373305,0.06927001],"genre_scores_gemma":[0.621389,0.002039224,0.3400661,0.0108614,0.001211746,0.0005872762,0.0004926438,0.004087218,0.01926549],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05856427,"threshold_uncertainty_score":0.3097211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009443144865113733,"score_gpt":0.2565643840606938,"score_spread":0.24712123919558,"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."}}