{"id":"W1492799603","doi":"10.4995/thesis/10251/8414","title":"Modelos de conductas tecnológicas y su impacto en la competitividad empresarial. El caso de las Pymes industriales argentinas","year":2010,"lang":"es","type":"dissertation","venue":"","topic":"Innovation and Knowledge Management","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Microsemi (Canada)","funders":"","keywords":"Humanities; Political science; Art","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":[0.001077562,0.001119025,0.0006300375,0.0007665023,0.0005250643,0.002645141,0.00130012,0.00165411,0.01049428],"category_scores_gemma":[0.002923671,0.0005391424,0.0008186506,0.001208273,0.0009735669,0.001433219,0.0009592509,0.00111768,0.001320054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002351817,"about_ca_system_score_gemma":0.002461816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04544612,"about_ca_topic_score_gemma":0.02950712,"domain_scores_codex":[0.9994825,0.0002564295,0.0000162166,0.00009160821,0.00008299927,0.00007012131],"domain_scores_gemma":[0.9990522,0.0004690239,0.0001874921,0.00006167203,0.0001414986,0.0000881593],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0001726503,0.0001765798,0.01179746,0.0001605862,0.00009946304,0.000258374,0.0004131752,0.7531237,0.0006800016,0.2107112,0.004481018,0.01792571],"study_design_scores_gemma":[0.00007235069,0.0001122684,0.005715008,0.00008161664,0.00006816952,0.00005844393,0.0003218623,0.9127844,0.0001395965,0.06729003,0.01332696,0.0000293324],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3854969,0.008503426,0.3487609,0.009650231,0.0004052542,0.0003070421,0.004157314,0.0006354378,0.2420834],"genre_scores_gemma":[0.930656,0.003793514,0.01459176,0.0001354065,0.00009212995,0.0003212353,0.000662517,0.00008434639,0.04966307],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04544612,"threshold_uncertainty_score":0.0903632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02772912675897433,"score_gpt":0.2967765905020673,"score_spread":0.269047463743093,"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."}}