{"id":"W2519426585","doi":"10.2139/ssrn.2836135","title":"Strategy When Creative Destruction Accelerates","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Innovation, Sustainability, Human-Machine Systems","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Business; History; Advertising","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":[0.004634276,0.0001510754,0.0001756586,0.000169369,0.001162243,0.0001912491,0.0003472384,0.0001165933,0.0003942706],"category_scores_gemma":[0.0005848745,0.0001064434,0.00008316264,0.0003193198,0.0002647626,0.0009577288,0.00002257109,0.0007206377,0.00004019391],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.004133585,"about_ca_system_score_gemma":0.00570751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003749753,"about_ca_topic_score_gemma":0.0166314,"domain_scores_codex":[0.9963223,0.0005897727,0.000387427,0.0002316094,0.0004728185,0.001996126],"domain_scores_gemma":[0.9986062,0.0001059088,0.0002868998,0.0001509644,0.0007611433,0.00008885561],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003011411,0.00003175115,0.01293212,0.000003956954,0.00006765379,0.000001464397,0.003938138,0.000006064998,0.0003221473,0.9390014,0.0002227149,0.04344251],"study_design_scores_gemma":[0.0004519431,0.0002073945,0.004259595,0.00002064787,0.00001402895,0.00004935855,0.0389283,0.000003800276,0.0001090252,0.9510946,0.004680884,0.0001804248],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.953427,0.000492722,0.01291311,0.004886736,0.0005606897,0.0004126068,0.000002379482,0.000119529,0.0271852],"genre_scores_gemma":[0.9843313,0.0003902112,0.00004379417,0.00002683535,0.001287934,0.00001172858,0.000001539165,0.00001877155,0.01388792],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04326209,"threshold_uncertainty_score":0.9999292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01913528412010504,"score_gpt":0.3152804743900665,"score_spread":0.2961451902699614,"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."}}