{"id":"W2055956207","doi":"10.4236/ti.2010.13023","title":"Evaluation of Venture Capital Based on Evaluation Model","year":2010,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Business Strategies and Innovation","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Profitability index; Venture capital; Index (typography); Constraint (computer-aided design); Investment (military); Econometrics; Capital (architecture); Projection (relational algebra); Work (physics); Order (exchange); Regression analysis; Computer science; Economics; Actuarial science; Finance; Mathematics; Statistics; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01057477,0.0009992722,0.00111655,0.002396699,0.00059468,0.004004064,0.001019089,0.0008439039,0.001815943],"category_scores_gemma":[0.03165472,0.0002802665,0.0006112398,0.001733497,0.001386997,0.005556242,0.001493472,0.0008692983,0.0001676563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0031601,"about_ca_system_score_gemma":0.001752693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002458554,"about_ca_topic_score_gemma":0.001243293,"domain_scores_codex":[0.9889299,0.006706808,0.0004667982,0.0009012732,0.002490276,0.0005049006],"domain_scores_gemma":[0.9845746,0.01046537,0.001121463,0.0006205891,0.00282768,0.0003903109],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002683421,0.0001967131,0.01660075,0.0004665754,0.0002007747,0.0003329662,0.0005898066,0.4478055,0.002230626,0.3723172,0.003529985,0.1554608],"study_design_scores_gemma":[0.00001385767,0.00008455354,0.001789283,0.000055431,0.00003772215,0.00006849203,0.0001265051,0.9444757,0.0007863801,0.05164153,0.000889175,0.00003135196],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1274864,0.00138969,0.850558,0.001101087,0.00007408382,0.0002439744,0.0001402912,0.0001678702,0.01883852],"genre_scores_gemma":[0.9547145,0.0004881874,0.04272323,0.00003836769,0.00004302812,0.0001748318,0.0001138106,0.00002466224,0.001679387],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01057477,"threshold_uncertainty_score":0.05592543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03361697091266451,"score_gpt":0.2617579861097667,"score_spread":0.2281410151971022,"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."}}