{"id":"W4318908907","doi":"10.1145/3582491","title":"Data Science---A Systematic Treatment","year":2023,"lang":"en","type":"article","venue":"Communications of the ACM","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Data science","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":[0.04580572,0.001715001,0.004046327,0.02346666,0.002859997,0.008691432,0.002679912,0.003909541,0.005631184],"category_scores_gemma":[0.1041356,0.001451304,0.002437097,0.01909975,0.01021524,0.01508792,0.007480379,0.009830115,0.002281033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007531282,"about_ca_system_score_gemma":0.0249614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004731589,"about_ca_topic_score_gemma":0.009426618,"domain_scores_codex":[0.9627629,0.01980315,0.006431837,0.001769255,0.008704857,0.0005279793],"domain_scores_gemma":[0.8558163,0.1024774,0.006207809,0.01613586,0.01775534,0.001607228],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001487855,0.0001912945,0.004626691,0.06409293,0.001074148,0.0002572975,0.001865744,0.001305148,0.001061241,0.2990462,0.1396094,0.4867212],"study_design_scores_gemma":[0.00006276467,0.0001303964,0.001816046,0.09687435,0.0004172553,0.0006117639,0.001561525,0.0008974651,0.0006765042,0.1464135,0.750463,0.00007529784],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"methods","genre_scores_codex":[0.0009720683,0.8412138,0.05843556,0.08074141,0.007078982,0.001136776,0.00186175,0.0002053715,0.008354278],"genre_scores_gemma":[0.01824384,0.8421625,0.09290225,0.0340684,0.005102491,0.002289495,0.001669672,0.0002247947,0.003336592],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.04580572,"threshold_uncertainty_score":0.2422467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7465776776167445,"score_gpt":0.6254157346368587,"score_spread":0.1211619429798858,"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."}}