{"id":"W4230426184","doi":"10.16967/rpe.66","title":"Metodología para el seguimiento y evaluación de los Planes Estratégicos Departamentales de Ciencia, Tecnología e Innovación -PEDCTI-: Una propuesta desde el Ciclo PHVA","year":2015,"lang":"es","type":"article","venue":"Revista Perspectiva Empresarial","topic":"Business, Innovation, and Economy","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Humanities; Philosophy; Political science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.003261011,0.00102617,0.001723011,0.001070391,0.0006222611,0.001247958,0.001297175,0.0008922148,0.0006927925],"category_scores_gemma":[0.001810073,0.001199739,0.0003961305,0.001761584,0.0007628797,0.001263089,0.0003798408,0.0009086334,0.0006372944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003074436,"about_ca_system_score_gemma":0.001656925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002843895,"about_ca_topic_score_gemma":0.0001124273,"domain_scores_codex":[0.9935002,0.0003001185,0.002169607,0.001935552,0.0003111737,0.001783288],"domain_scores_gemma":[0.9956463,0.0002202231,0.001588531,0.001422181,0.0005824013,0.0005403474],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001085131,0.001643871,0.7566555,0.0007738634,0.0008125004,0.0001402042,0.003706319,0.0006381701,0.002045293,0.2208083,0.0100181,0.001672778],"study_design_scores_gemma":[0.02017899,0.002762354,0.5279205,0.001479172,0.0009907607,0.001620153,0.01001425,0.01402147,0.00780381,0.1109327,0.2936375,0.008638315],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9769974,0.007639185,0.002838579,0.001109911,0.001607052,0.001615931,0.0007392046,0.0002515973,0.007201193],"genre_scores_gemma":[0.991521,0.0009002281,0.002470294,0.0004333373,0.003400706,0.0002104007,0.0002534971,0.000160567,0.0006499399],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2836194,"threshold_uncertainty_score":0.9997888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0790751715081643,"score_gpt":0.3426254826558939,"score_spread":0.2635503111477296,"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."}}