{"id":"W1533896722","doi":"10.1108/02635570610688904","title":"Enabling the strategic development of SMEs through advanced manufacturing systems","year":2006,"lang":"en","type":"article","venue":"Industrial Management & Data Systems","topic":"Innovation and Knowledge Management","field":"Business, Management and Accounting","cited_by":87,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; Université du Québec à Trois-Rivières","funders":"","keywords":"Profitability index; Business; Originality; New product development; Industrial organization; Marketing; Sample (material); Strategic management; Order (exchange); Product (mathematics); Knowledge management; Computer science; Qualitative research","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001285988,0.000217916,0.0001380511,0.0006754202,0.001078567,0.002226389,0.0003955676,0.0003667012,0.001993559],"category_scores_gemma":[0.003331725,0.0001077996,0.0001724844,0.001287794,0.001809065,0.001266507,0.002665608,0.0003312789,0.0004291122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001829937,"about_ca_system_score_gemma":0.004600285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02273626,"about_ca_topic_score_gemma":0.03744716,"domain_scores_codex":[0.9984974,0.0006234867,0.00005653444,0.00008102302,0.0003472119,0.0003944317],"domain_scores_gemma":[0.9979483,0.0006291358,0.0005162788,0.0001914065,0.0003358805,0.0003790127],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002988891,0.0003155655,0.3199427,0.0009578124,0.00009413048,0.003576434,0.07829148,0.007423655,0.04225995,0.1141403,0.002606295,0.4300928],"study_design_scores_gemma":[0.00004958849,0.001194323,0.4880788,0.001170815,0.0001065506,0.003095085,0.2048938,0.01345574,0.02117436,0.05678061,0.209858,0.0001424333],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9412091,0.000548463,0.008125273,0.0009291623,0.000007790355,0.00005000525,0.00003254232,0.00004861187,0.04904915],"genre_scores_gemma":[0.9976421,0.0001462599,0.00163824,0.0000319608,0.000001410031,0.000004137047,0.000009037813,0.000001529804,0.0005253247],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02273626,"threshold_uncertainty_score":0.0452078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1396782303610287,"score_gpt":0.2682972398016878,"score_spread":0.1286190094406591,"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."}}