{"id":"W2293252862","doi":"","title":"Experience-based analytics","year":2015,"lang":"en","type":"article","venue":"Computer Science and Software Engineering","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"IBM (Canada)","funders":"","keywords":"Analytics; Computer science; Data science; Data analysis; Software analytics; Big data; Population; Cultural analytics; Business analytics; Semantic analytics; World Wide Web; Data mining; The Internet; Business model; Business","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":[0.003782493,0.0009668326,0.0005538843,0.002168756,0.001014753,0.01142981,0.002250259,0.001229952,0.02515969],"category_scores_gemma":[0.01504971,0.0003168396,0.0007064245,0.002726832,0.002321805,0.009844142,0.007220851,0.001549117,0.007332442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001679898,"about_ca_system_score_gemma":0.001590014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002188255,"about_ca_topic_score_gemma":0.001894159,"domain_scores_codex":[0.9951002,0.001728952,0.0003012663,0.0008504349,0.001650466,0.0003687002],"domain_scores_gemma":[0.9931652,0.002600202,0.0004549081,0.001723282,0.001547226,0.0005093126],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001951365,0.0002764911,0.008687309,0.001204373,0.0001218454,0.0004103414,0.01105153,0.004691644,0.001818303,0.4722166,0.08842467,0.4109018],"study_design_scores_gemma":[0.00003903032,0.0002158366,0.004466084,0.0008762512,0.00007711471,0.0005304382,0.01079191,0.01870923,0.001749728,0.3980269,0.564419,0.0000984827],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03136315,0.006428555,0.338819,0.01330552,0.001086553,0.001126313,0.005195381,0.003370724,0.5993048],"genre_scores_gemma":[0.7579328,0.008637558,0.1401602,0.003053163,0.001069195,0.0009499823,0.008318834,0.0007497848,0.07912839],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02515969,"threshold_uncertainty_score":0.08416754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0733437903223894,"score_gpt":0.2612776798488027,"score_spread":0.1879338895264133,"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."}}