{"id":"W4396910770","doi":"10.1109/ieeeconf58110.2023.10520570","title":"Framing Cognitive Machines: A Sociotechnical Taxonomy","year":2023,"lang":"en","type":"article","venue":"","topic":"Innovation, Sustainability, Human-Machine Systems","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Agence Nationale de la Recherche","keywords":"Sociotechnical system; Taxonomy (biology); Categorization; Framing (construction); Computer science; Cybernetics; Management science; Data science; Knowledge management; Artificial intelligence; Engineering; Ecology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.006703282,0.001378501,0.0007797583,0.01207753,0.004412775,0.01095286,0.002128061,0.003967183,0.004794712],"category_scores_gemma":[0.009135551,0.0006861048,0.001565608,0.006748527,0.01673229,0.01890744,0.00524175,0.002809686,0.0008579808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00473692,"about_ca_system_score_gemma":0.004815754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00325562,"about_ca_topic_score_gemma":0.002268926,"domain_scores_codex":[0.9938605,0.003349741,0.000500261,0.0006230238,0.001250642,0.0004158478],"domain_scores_gemma":[0.9922513,0.003931682,0.0009293602,0.001043631,0.001344396,0.0004995425],"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":[0.000005147032,0.00001559762,0.0008527046,0.0001230994,0.00000693824,0.0001013342,0.005064713,0.001127498,0.000258077,0.9806652,0.0006571093,0.01112273],"study_design_scores_gemma":[0.000006871338,0.00002711086,0.0006614623,0.0002604959,0.000009313701,0.0001972797,0.006227767,0.005985597,0.0001644899,0.9491536,0.03728186,0.00002415861],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03990244,0.003325627,0.856572,0.01189204,0.0003984909,0.0009998656,0.000458019,0.000384595,0.08606694],"genre_scores_gemma":[0.4985186,0.003380523,0.4871701,0.0009289986,0.0002378122,0.002114148,0.0006592193,0.00009393046,0.006896638],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9955872,"threshold_uncertainty_score":0.03545082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05600044801622957,"score_gpt":0.3712243358188735,"score_spread":0.315223887802644,"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."}}