{"id":"W1982079420","doi":"10.1007/s13235-015-0147-1","title":"Defensive, Offensive, and Generic Advertising in a Lanchester Model with Market Growth","year":2015,"lang":"en","type":"article","venue":"Dynamic Games and Applications","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"Athabasca University","funders":"","keywords":"Offensive; Advertising; Economics; Computer science; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009860321,0.0001180958,0.0001342602,0.0001231409,0.00006589039,0.00010708,0.0000583435,0.00003384608,0.00000603681],"category_scores_gemma":[0.00001109374,0.0001023902,0.0000131172,0.0002335797,0.00005860429,0.0002210824,0.00008871181,0.00007542835,0.000003829173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001312179,"about_ca_system_score_gemma":0.00001557584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002345383,"about_ca_topic_score_gemma":0.0003550701,"domain_scores_codex":[0.9994036,0.000005244109,0.0001236683,0.0002361647,0.00007693431,0.0001544011],"domain_scores_gemma":[0.9996685,0.00002339998,0.00005903721,0.0001295334,0.00009691063,0.00002263558],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001366622,0.0001274286,0.8328885,0.0003237914,0.00003274979,0.00001589484,0.0004065633,0.0005030218,0.0004685033,0.009320064,0.002146029,0.1536308],"study_design_scores_gemma":[0.001519001,0.00001088804,0.5231174,0.00009827634,0.0001459519,0.00003173011,0.0008442354,0.4525351,0.000002903162,0.00682538,0.01436054,0.0005085671],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9743543,0.0004769421,0.01189453,0.0007809071,0.00001623617,0.0003916095,0.000004652378,0.00005904894,0.0120218],"genre_scores_gemma":[0.9974142,0.00006536744,0.001353163,0.0007161832,0.00003392942,0.0000927994,0.00001540619,0.00001712176,0.0002918078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4520321,"threshold_uncertainty_score":0.4175352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01542923157504236,"score_gpt":0.2208891931854273,"score_spread":0.205459961610385,"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."}}