{"id":"W4408196675","doi":"10.3390/analytics4010009","title":"Updated Aims and Scope of Analytics","year":2025,"lang":"en","type":"article","venue":"Analytics","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Scope (computer science); Analytics; Data science; Computer 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":[0.01293055,0.001794637,0.001376569,0.01056002,0.002748631,0.02509428,0.003552835,0.004972703,0.03046857],"category_scores_gemma":[0.04479779,0.0009232545,0.001552964,0.01735462,0.004425789,0.0296577,0.007722081,0.008670049,0.02468667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006098585,"about_ca_system_score_gemma":0.01318731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01212004,"about_ca_topic_score_gemma":0.007477264,"domain_scores_codex":[0.9902616,0.001881746,0.0009630676,0.001151583,0.00495258,0.0007893761],"domain_scores_gemma":[0.956231,0.008069768,0.00176683,0.004263449,0.02759268,0.00207621],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004515519,0.00002560169,0.0005883545,0.0004930958,0.00001905442,0.00003286332,0.0002970508,0.0004368262,0.0002414225,0.138138,0.7698216,0.08986107],"study_design_scores_gemma":[0.000005573513,0.000008300211,0.000809397,0.0008223509,0.0000134635,0.00004743807,0.000248116,0.0003643624,0.0002017688,0.03138438,0.9660668,0.00002819636],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.002671257,0.1235022,0.03913227,0.3585505,0.1039871,0.0002812922,0.02371593,0.00420375,0.3439556],"genre_scores_gemma":[0.0649026,0.3011149,0.09141535,0.1007657,0.07653791,0.001125584,0.054044,0.00410195,0.305992],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.03046857,"threshold_uncertainty_score":0.1019275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04745455053036469,"score_gpt":0.2975238251584026,"score_spread":0.2500692746280379,"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."}}