{"id":"W2613328057","doi":"","title":"La ingeniería del software en Estados Unidos y Canadá","year":2014,"lang":"es","type":"article","venue":"UNACIENCIA","topic":"Business, Innovation, and Economy","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001415081,0.0003376061,0.0005615834,0.0005901884,0.0003453163,0.0002931734,0.0005912523,0.0003762431,0.0006713215],"category_scores_gemma":[0.0006870201,0.0004307601,0.0001321138,0.0009839863,0.0002004126,0.0005925595,0.0001320967,0.0003362802,0.001228062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003375022,"about_ca_system_score_gemma":0.0002273488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002752067,"about_ca_topic_score_gemma":0.0005920701,"domain_scores_codex":[0.9976323,0.00004830982,0.0008904974,0.0007119734,0.00007252597,0.0006443957],"domain_scores_gemma":[0.9983332,0.000193174,0.0005215597,0.0006376858,0.0001465952,0.0001678196],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00000930669,0.0001080338,0.8715194,0.0001597025,0.00005801342,0.000005778281,0.001020296,0.0002427346,0.00001384914,0.09820973,0.002570991,0.02608216],"study_design_scores_gemma":[0.0005833577,0.000055461,0.5173554,0.00004966234,0.00001755963,0.0000132117,0.0001165972,0.004591056,0.00006022022,0.005458754,0.471038,0.0006607267],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9500206,0.0007395024,0.01910601,0.0003128464,0.001256133,0.0002339089,0.0001942203,0.00009158599,0.02804522],"genre_scores_gemma":[0.994317,0.0002196634,0.001809199,0.001063966,0.0004863759,0.0000229967,0.00005455626,0.00005733386,0.001968897],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.468467,"threshold_uncertainty_score":0.9998144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01341239306561644,"score_gpt":0.1982619606251119,"score_spread":0.1848495675594954,"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."}}