{"id":"W6929279282","doi":"10.4224/21274684","title":"Helping SMEs plug into digital technology expertise at local colleges: case study","year":2014,"lang":"en","type":"report","venue":"NPARC","topic":"Bacterial Genetics and Biotechnology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Plug and play; Key (lock); Work (physics); Component (thermodynamics); Information technology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00426049,0.0004452254,0.0003455563,0.001425358,0.009635045,0.003366745,0.001599509,0.004831517,0.009448077],"category_scores_gemma":[0.01617806,0.0004446525,0.0003913575,0.001789768,0.002557243,0.003292345,0.006581951,0.002775246,0.002034899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002871909,"about_ca_system_score_gemma":0.004707934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01218912,"about_ca_topic_score_gemma":0.03763212,"domain_scores_codex":[0.9956541,0.001946051,0.0001352271,0.0002582456,0.000484186,0.001522308],"domain_scores_gemma":[0.9788122,0.00925402,0.001255707,0.0008097004,0.002138734,0.007729675],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.001484473,0.01625164,0.1883832,0.001364291,0.0001175431,0.07527796,0.5358441,0.00146925,0.008125107,0.008150652,0.02895925,0.1345726],"study_design_scores_gemma":[0.0002136934,0.001833892,0.03796767,0.0003963641,0.00005704628,0.007679953,0.8992024,0.002078774,0.003392675,0.001320879,0.04578405,0.00007261351],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9831392,0.0001297119,0.0008473269,0.00330724,0.00002392361,0.0001917151,0.00009418416,0.00005179969,0.01221503],"genre_scores_gemma":[0.9912449,0.0001684486,0.00137994,0.0008567907,0.0000148438,0.00009456033,0.00006603025,0.00002349821,0.00615102],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01218912,"threshold_uncertainty_score":0.03160697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01347886199269772,"score_gpt":0.266831391306791,"score_spread":0.2533525293140933,"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."}}