{"id":"W4388825466","doi":"10.36227/techrxiv.24542293","title":"Framing Cognitive Machines: A Sociotechnical Taxonomy","year":2023,"lang":"en","type":"preprint","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; Aix-Marseille Université","keywords":"Sociotechnical system; Categorization; Taxonomy (biology); Framing (construction); Cybernetics; Management science; Knowledge management; Cognition; Computer science; Data science; Epistemology; Sociology; Artificial intelligence; Engineering; Psychology; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004690279,0.0004111119,0.0006179454,0.0003887286,0.001142296,0.0004069422,0.0008662089,0.001100019,0.0006222132],"category_scores_gemma":[0.004952074,0.0004158161,0.0003186846,0.0007101403,0.0008214026,0.0001840356,0.00123408,0.001743065,0.0002876285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001084778,"about_ca_system_score_gemma":0.002096398,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05325279,"about_ca_topic_score_gemma":0.01904014,"domain_scores_codex":[0.9955722,0.000880224,0.0008659378,0.0009954304,0.0009512685,0.0007349044],"domain_scores_gemma":[0.9966302,0.001044738,0.0004561908,0.0005458069,0.001180471,0.0001426173],"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":[0.00005423545,0.0004871483,0.08114857,0.002168941,0.000620326,0.0001038193,0.09482947,0.0003144856,0.000009016713,0.7694563,0.03054132,0.02026641],"study_design_scores_gemma":[0.001350482,0.0001357431,0.03176916,0.001457091,0.0003113998,0.00000431117,0.2742222,0.004055076,0.0000255509,0.4902108,0.192564,0.003894162],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1891724,0.0003613874,0.209936,0.02082064,0.01058163,0.01888662,0.0002765887,0.009139144,0.5408255],"genre_scores_gemma":[0.9773402,0.00001967178,0.001184908,0.0002865191,0.002128592,0.001343491,0.0001783389,0.00007673752,0.01744153],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7881678,"threshold_uncertainty_score":0.9998294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1024296029346985,"score_gpt":0.3929730503556846,"score_spread":0.290543447420986,"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."}}