{"id":"W6992553763","doi":"","title":"L'OPERAZIONE DI FUSIONE: IL CASO FIAT - CHRYSLER","year":2014,"lang":"it","type":"article","venue":"Electronic Theses and Dissertations Repository (University of Pisa)","topic":"Management, Economics, and Public Policy","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Chrysler (Canada)","funders":"","keywords":"European union; Western europe","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":[0.003079037,0.0003887139,0.0007367423,0.00167493,0.003490002,0.007835938,0.001170002,0.001561411,0.02270754],"category_scores_gemma":[0.008766677,0.0002723776,0.000967261,0.00448388,0.006963337,0.008991651,0.006252161,0.003131653,0.001289762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004939375,"about_ca_system_score_gemma":0.004330827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03482217,"about_ca_topic_score_gemma":0.02692572,"domain_scores_codex":[0.9971883,0.0003850364,0.0000715889,0.0007657396,0.0008352372,0.0007541458],"domain_scores_gemma":[0.9943732,0.00217627,0.0009727373,0.0009965987,0.001021001,0.0004601968],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002788864,0.00003774307,0.01991623,0.0001337621,0.0001036766,0.00084716,0.006022075,0.001919853,0.001198069,0.9161457,0.01061324,0.04278354],"study_design_scores_gemma":[0.0001305979,0.0003018523,0.1226719,0.0006296982,0.0003673063,0.001572156,0.01957884,0.008628425,0.005919,0.566103,0.2738696,0.0002277514],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.621932,0.006131827,0.02787902,0.02846745,0.0002690329,0.00008858532,0.001130287,0.0003599303,0.3137419],"genre_scores_gemma":[0.9856625,0.0008561974,0.002171285,0.0005138233,0.00008288568,0.00003013902,0.0001186072,0.0001154046,0.01044925],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03482217,"threshold_uncertainty_score":0.07596433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006354176643265269,"score_gpt":0.1854783015096259,"score_spread":0.1791241248663606,"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."}}