{"id":"W4405583170","doi":"10.1016/j.asoc.2024.112618","title":"Evaluation of industry 4.0 adoption strategies in small and medium enterprises: A Circular-Fermatean fuzzy decision-making approach","year":2024,"lang":"en","type":"article","venue":"Applied Soft Computing","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Fuzzy logic; Computer science; Small and medium-sized enterprises; Business; Operations research; Artificial intelligence; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.001125411,0.0001711121,0.000187674,0.0002768418,0.00003485295,0.0002096009,0.0001238257,0.0002582555,0.000007794602],"category_scores_gemma":[0.00003988606,0.0001878065,0.00003224251,0.0004022116,0.00004046819,0.0003066537,0.00004386099,0.0005242814,0.000003967168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000133394,"about_ca_system_score_gemma":0.00009030712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002703542,"about_ca_topic_score_gemma":0.000002101614,"domain_scores_codex":[0.9986646,0.00002829812,0.0004860311,0.000215562,0.0003927136,0.0002128419],"domain_scores_gemma":[0.999492,0.0002162849,0.00004251836,0.000134701,0.00007364468,0.00004087619],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004924379,0.0000201172,0.0004995727,0.0006803992,0.00005341309,0.000002332735,0.003306439,0.7619343,0.00049665,0.002358647,0.00002567471,0.2306176],"study_design_scores_gemma":[0.0004726236,0.000009855002,0.005895968,0.001269557,0.00006556053,0.00002156768,0.008199025,0.970827,0.0002914629,0.01260222,0.00004781863,0.0002972754],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7657495,0.0003981979,0.1946037,0.000004545687,0.0002579073,0.0003122839,0.000005377361,0.0002869417,0.03838156],"genre_scores_gemma":[0.9957083,0.000006422364,0.004120809,0.000007442965,0.00008729566,0.00002218029,0.00001445326,0.00003245563,5.960348e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2303203,"threshold_uncertainty_score":0.7658525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02699883586984391,"score_gpt":0.2682996820135375,"score_spread":0.2413008461436936,"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."}}