{"id":"W6947874433","doi":"10.4224/21274686","title":"Building college capacity to support SME digital technology adoption: case study","year":2014,"lang":"en","type":"report","venue":"NPARC","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Government (linguistics); Information technology; Process (computing)","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":[0.001998214,0.0002138143,0.0001585618,0.001071705,0.004745492,0.00231736,0.001256732,0.001541605,0.0133842],"category_scores_gemma":[0.008076816,0.0002103096,0.0002896247,0.001160876,0.001697945,0.002337655,0.004319347,0.002019193,0.001546566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002582862,"about_ca_system_score_gemma":0.005995269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01221199,"about_ca_topic_score_gemma":0.02497656,"domain_scores_codex":[0.9981711,0.0005842649,0.00004614652,0.000109829,0.0002344339,0.0008542088],"domain_scores_gemma":[0.9899676,0.003119607,0.000562761,0.000737276,0.001305275,0.004307567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.001076338,0.02533269,0.337667,0.000635943,0.00009302059,0.02214151,0.1567657,0.005469369,0.0130887,0.03412137,0.03086656,0.3727418],"study_design_scores_gemma":[0.0003135682,0.004569881,0.2118502,0.0004560168,0.0001282193,0.004409625,0.6128117,0.01778096,0.01331079,0.006839391,0.127395,0.0001346462],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9622062,0.00004957189,0.000759217,0.001611044,0.00001761217,0.000124313,0.00004246227,0.00005609234,0.03513342],"genre_scores_gemma":[0.996164,0.00004346396,0.000541958,0.0001338436,0.000005263568,0.00002595523,0.00002610392,0.000009226246,0.003050292],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0133842,"threshold_uncertainty_score":0.04477459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05919057675131857,"score_gpt":0.3014047265329922,"score_spread":0.2422141497816736,"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."}}