{"id":"W4411599831","doi":"10.2139/ssrn.5318305","title":"Looking Backward, Innovating Forward: A Theory of Competitive Cascades","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Regional Development and Policy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Competitive advantage; Industrial organization; Computer science; Economics; Business; Marketing","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":[0.004495651,0.0008536084,0.001242011,0.002010169,0.002196357,0.008317017,0.002284352,0.005722105,0.01735197],"category_scores_gemma":[0.01851429,0.0006635364,0.001610299,0.002394612,0.006887936,0.01500312,0.002047209,0.00366304,0.001335104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002825602,"about_ca_system_score_gemma":0.002566332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004296919,"about_ca_topic_score_gemma":0.002256174,"domain_scores_codex":[0.9980047,0.000877452,0.00007483197,0.0003556366,0.0004512088,0.0002361413],"domain_scores_gemma":[0.9862846,0.01085838,0.001178969,0.0006267684,0.0006999966,0.0003512393],"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":[0.00001613738,0.00001791828,0.0002302864,0.00004983889,0.00001526047,0.00005339375,0.0002807246,0.004748844,0.0000899588,0.990528,0.001077152,0.002892448],"study_design_scores_gemma":[0.00001980013,0.000009332415,0.00008552272,0.00001909213,0.00001447218,0.00003567022,0.00009278464,0.0126419,0.00003613846,0.985501,0.001535186,0.00000912324],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09430276,0.005376608,0.5743108,0.02820638,0.0005768824,0.0003079443,0.0005292385,0.000280759,0.2961086],"genre_scores_gemma":[0.9417728,0.004484874,0.02835619,0.001365911,0.0007973888,0.0002364094,0.00008354217,0.00006147759,0.02284129],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01735197,"threshold_uncertainty_score":0.05804819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01837161415969513,"score_gpt":0.3204792102613813,"score_spread":0.3021075961016861,"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."}}