{"id":"W2093895371","doi":"10.2139/ssrn.2170050","title":"Technology Spillovers, Product Market Rivalry and Financial Flexibility","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Rivalry; Business; Flexibility (engineering); Product (mathematics); Product market; Financial system; Industrial organization; Finance; Economics; Microeconomics; Incentive; Management","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":[0.001460546,0.0003351028,0.0005874243,0.001318453,0.0005629945,0.003525157,0.0003285198,0.001625401,0.01487694],"category_scores_gemma":[0.009855011,0.000281775,0.000570989,0.001533236,0.00145824,0.004231097,0.001978937,0.00097667,0.0005742465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000867833,"about_ca_system_score_gemma":0.0005007664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001860072,"about_ca_topic_score_gemma":0.002387445,"domain_scores_codex":[0.9995377,0.0001388247,0.00003287906,0.00008563361,0.00007294725,0.0001320028],"domain_scores_gemma":[0.9868001,0.008035271,0.003324146,0.0006196095,0.0002601786,0.0009606419],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003022512,0.0019536,0.4542737,0.0006603805,0.0008324475,0.004560881,0.002315859,0.1321746,0.01115711,0.2936565,0.003156709,0.09223568],"study_design_scores_gemma":[0.0003982401,0.001287067,0.5706272,0.000134709,0.0006163249,0.001355631,0.004232926,0.04233318,0.001914197,0.3710003,0.005955034,0.0001452134],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9754291,0.0008929855,0.001658062,0.0005488012,0.000009019637,0.00001669446,0.00009151307,0.00002599272,0.02132786],"genre_scores_gemma":[0.9990129,0.0001880839,0.0000708892,0.00001979741,0.00001225692,0.000002344551,0.0000195442,0.000001171404,0.000672988],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01487694,"threshold_uncertainty_score":0.04976827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00871691116916151,"score_gpt":0.2064707253851812,"score_spread":0.1977538142160197,"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."}}