{"id":"W7132270211","doi":"","title":"The Roles of Marketing Breadth and Competitive Spread on Product Life Cycle (CEIBS Working Paper, No. 015/2020/MKT, 2020)","year":2020,"lang":"en","type":"report","venue":"CEIBS Institutional Repository","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Competitor analysis; Construct (python library); Product (mathematics); Order (exchange); Service (business); Marketing mix; Identification (biology); Market share; New product development","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":["metaresearch","metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.004090334,0.001200603,0.001471779,0.0002316284,0.002220025,0.0003625423,0.001040602,0.000573315,0.00005277115],"category_scores_gemma":[0.012701,0.001001222,0.0005744961,0.0006800256,0.002614736,0.0003611118,0.0008463798,0.002159127,0.0004121798],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001531887,"about_ca_system_score_gemma":0.007848622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001993138,"about_ca_topic_score_gemma":0.0002203737,"domain_scores_codex":[0.9898335,0.001267919,0.002058703,0.002106212,0.003825943,0.000907695],"domain_scores_gemma":[0.9915183,0.00226599,0.002300343,0.001356137,0.00197263,0.0005865726],"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":[0.03484431,0.004842212,0.07367034,0.01530956,0.0194002,0.01574774,0.003890516,0.01281094,0.09049763,0.05560703,0.5997859,0.07359358],"study_design_scores_gemma":[0.0009216628,0.0002164055,0.06559827,0.006715186,0.0006101758,0.002399964,0.0003730359,0.0002484464,0.001345453,0.0001148665,0.9200306,0.001425934],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03007465,0.03460411,0.0000117244,0.0006749521,0.00941535,0.002002818,0.0007163616,0.0005124554,0.9219876],"genre_scores_gemma":[0.9737634,0.006471045,0.0005730144,0.0002260419,0.01236265,0.0002455919,0.0005910894,0.0003803821,0.005386752],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9436888,"threshold_uncertainty_score":0.9992438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01734998997998519,"score_gpt":0.2513356649091587,"score_spread":0.2339856749291735,"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."}}