{"id":"W4300381534","doi":"","title":"R&amp;D and performance outcomes of commercial dependency for manufacturing SMEs MAAOE Third International Conference on Organisational Excellence","year":2002,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Innovation Policy and R&D","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Excellence; Dependency (UML); Business; Small to medium enterprises; Manufacturing engineering; Knowledge management; Computer science; Engineering; Systems engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002516309,0.0002035651,0.0004994936,0.001729654,0.0007855259,0.003688233,0.000603985,0.001239263,0.01122499],"category_scores_gemma":[0.01551944,0.0001594656,0.0006373895,0.002366625,0.0006948612,0.001544461,0.002546541,0.001136212,0.002134614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0015975,"about_ca_system_score_gemma":0.001509546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01625825,"about_ca_topic_score_gemma":0.01338124,"domain_scores_codex":[0.9985734,0.0003171447,0.0001303649,0.0001352482,0.0002136102,0.0006303099],"domain_scores_gemma":[0.9682796,0.01006911,0.01007033,0.0007926492,0.00382957,0.006958835],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001293801,0.0004156789,0.9867339,0.00003426945,0.00009586151,0.0002702819,0.0009464218,0.0009380243,0.0003935358,0.0009358316,0.0009380569,0.007004214],"study_design_scores_gemma":[0.00001907067,0.0002394249,0.9965947,0.00001489793,0.00003712141,0.00005198679,0.001324636,0.0004822348,0.0002976505,0.0004904042,0.0004313567,0.00001647776],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969525,0.000118833,0.00003940848,0.0003719965,0.00000322963,0.000006480401,0.0004628782,0.000005816144,0.002038945],"genre_scores_gemma":[0.9990079,0.00003136609,0.000008704974,0.00001825341,0.00000594791,0.000004059253,0.0002049981,0.000003033674,0.0007158775],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01625825,"threshold_uncertainty_score":0.03755134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06285318568779448,"score_gpt":0.2520672713637142,"score_spread":0.1892140856759197,"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."}}