{"id":"W4236123869","doi":"10.4018/978-1-7998-9155-0.ch016","title":"Digital Fluency in SMEs","year":2021,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Knowledge Management and Sharing","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université TÉLUQ; Université du Québec à Montréal","funders":"","keywords":"Typology; Fluency; Archetype; Complementarity (molecular biology); Perspective (graphical); Knowledge management; Business; Psychology; Marketing; Sociology; Computer science; Mathematics education; Artificial intelligence","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":[0.0008475371,0.0001850453,0.0001756548,0.002490488,0.001621646,0.004503116,0.0002353626,0.0009544038,0.005253068],"category_scores_gemma":[0.003105551,0.00009191173,0.0002280414,0.003106024,0.00280043,0.003544177,0.003091499,0.0005896512,0.0004870414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002539141,"about_ca_system_score_gemma":0.001612457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00733609,"about_ca_topic_score_gemma":0.006202256,"domain_scores_codex":[0.9994339,0.0001908687,0.00006061057,0.00006535782,0.0001403249,0.000108879],"domain_scores_gemma":[0.9981532,0.001004016,0.0002463564,0.00009477091,0.0001928734,0.0003089067],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000147187,0.000173559,0.0428053,0.001081899,0.00002337707,0.004895063,0.09535674,0.001387897,0.004036887,0.4358146,0.009451302,0.4048261],"study_design_scores_gemma":[0.00004914197,0.0004405749,0.1521532,0.002551128,0.00005397432,0.007387874,0.1130177,0.002681818,0.003899957,0.2085471,0.5091017,0.000115744],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.5934847,0.01391373,0.004833778,0.005805349,0.0001526488,0.00004955856,0.0001601956,0.0000849249,0.3815151],"genre_scores_gemma":[0.9897752,0.002536149,0.0008795391,0.0002092709,0.00003023406,0.00001709947,0.00003747966,0.000007106596,0.006508037],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.00733609,"threshold_uncertainty_score":0.01842284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02577235933433284,"score_gpt":0.2774542247281382,"score_spread":0.2516818653938053,"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."}}