{"id":"W2098422783","doi":"10.7202/803057ar","title":"La programmation déterministe du budget de capital : un modèle financier","year":2009,"lang":"en","type":"article","venue":"L Actualité économique","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Economics; Cash flow; Dividend; Finance; Equity (law); Shareholder; Maximization; Constraint (computer-aided design); Term (time); Investment (military); Capital budgeting; Microeconomics; Business; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001567267,0.0008721739,0.0009084338,0.0006201983,0.000728032,0.00304244,0.00139969,0.002360988,0.006900916],"category_scores_gemma":[0.002979876,0.0007367339,0.0008439835,0.001129459,0.001681753,0.003861672,0.001396353,0.002284092,0.0007465699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002679064,"about_ca_system_score_gemma":0.00266476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01370717,"about_ca_topic_score_gemma":0.006464357,"domain_scores_codex":[0.9993495,0.0003079663,0.00001967821,0.0001011372,0.0001150613,0.000106568],"domain_scores_gemma":[0.999215,0.0004873787,0.0001056574,0.0000463278,0.00006964384,0.00007597102],"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":[0.00005042543,0.00004381606,0.0003554827,0.00005820411,0.00001868777,0.00009639482,0.00009982893,0.4452392,0.0002597617,0.5464305,0.001504819,0.005842963],"study_design_scores_gemma":[0.00008151746,0.00003750209,0.0001295293,0.00002759883,0.00001387679,0.00004129729,0.00003083843,0.8040796,0.000110762,0.187858,0.007571037,0.00001841717],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05740653,0.003329564,0.856919,0.007203315,0.0002140593,0.0001250724,0.000948047,0.0004104515,0.07344384],"genre_scores_gemma":[0.7995942,0.005552933,0.1067724,0.0005030949,0.0003829078,0.0006812091,0.0005251345,0.0001896528,0.08579839],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01370717,"threshold_uncertainty_score":0.02725476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02738672034583052,"score_gpt":0.2159669789427351,"score_spread":0.1885802585969045,"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."}}