{"id":"W2504799843","doi":"10.1002/9781119198666.ch8","title":"Agile Marketing","year":2012,"lang":"en","type":"other","venue":"","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Agile software development; Computer science; Event (particle physics); Marketing; Business; Process management; Software engineering","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":[0.007165268,0.001057105,0.0004273384,0.002154767,0.001821865,0.007872553,0.001194332,0.001254262,0.04549798],"category_scores_gemma":[0.01232992,0.0005516425,0.0005383408,0.003415344,0.001636157,0.007344081,0.004629993,0.002988904,0.01840909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002230341,"about_ca_system_score_gemma":0.002875094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001838156,"about_ca_topic_score_gemma":0.002898634,"domain_scores_codex":[0.9911446,0.003352717,0.0003791822,0.0009544541,0.003474596,0.000694495],"domain_scores_gemma":[0.9888257,0.003766134,0.0009449501,0.002753265,0.002232834,0.001477147],"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":[0.0000930258,0.0002971463,0.004961334,0.00047588,0.00004576099,0.0001470703,0.003371608,0.0007277251,0.001517454,0.1612603,0.1454297,0.681673],"study_design_scores_gemma":[0.0000191468,0.00009806707,0.005372615,0.0002945501,0.00001086077,0.0003568232,0.002105136,0.001058998,0.00102018,0.03126803,0.9583576,0.000037998],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01953285,0.003088324,0.09484646,0.01374471,0.001553737,0.001114855,0.001231803,0.00230067,0.8625866],"genre_scores_gemma":[0.3355564,0.007508253,0.1299472,0.01010808,0.001317102,0.001888339,0.002384203,0.001714538,0.509576],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04549798,"threshold_uncertainty_score":0.1522059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05345915732790612,"score_gpt":0.2694520346884275,"score_spread":0.2159928773605214,"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."}}