{"id":"W7043288262","doi":"","title":"SMEs&amp;#8217; Degree of Openness: The Case of Manufacturing Industries","year":2012,"lang":"en","type":"article","venue":"Scientific Electronic Library Online (Scientific Electronic Library Online)","topic":"Innovation and Knowledge Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Cluster (spacecraft); Degree (music); Manufacturing; Manufacturing sector; Logistic regression; Open innovation","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00253145,0.0007706155,0.0007898751,0.001813017,0.001261767,0.001850863,0.002596479,0.000304965,0.002769884],"category_scores_gemma":[0.0001411395,0.0005977773,0.0003958033,0.006088338,0.001612444,0.01145919,0.001826489,0.001407319,0.0001800947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001073145,"about_ca_system_score_gemma":0.001559689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005093467,"about_ca_topic_score_gemma":0.0002719964,"domain_scores_codex":[0.9932253,0.0002213125,0.001727505,0.001277014,0.0009188275,0.002629994],"domain_scores_gemma":[0.9961101,0.0002851463,0.001280206,0.001980225,0.0002353677,0.0001089155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002278004,0.002697828,0.00269878,0.0007461388,0.0003480933,0.000038269,0.0005091336,0.00004889395,0.001631241,0.8929864,0.06507143,0.03299601],"study_design_scores_gemma":[0.001273559,0.00007692719,0.0008705768,0.0001871452,0.0002509129,0.0001605481,0.002340375,0.001504036,0.02107282,0.02857934,0.942724,0.0009597596],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9484702,0.003920552,0.00009068181,0.004155895,0.003226319,0.001388173,0.0002537646,0.0005648104,0.03792965],"genre_scores_gemma":[0.9510373,0.00007394409,0.0004783608,0.0007240962,0.001564959,0.00004294583,0.003282586,0.0001666353,0.04262913],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8776526,"threshold_uncertainty_score":0.9996474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03706186105782852,"score_gpt":0.2494148486122995,"score_spread":0.212352987554471,"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."}}