{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.005695682,0.0013644,0.0007230441,0.01218728,0.004286445,0.01196319,0.001946873,0.004343694,0.005667379],"category_scores_gemma":[0.007972962,0.0007265013,0.001401768,0.007003613,0.01565063,0.01952492,0.005556455,0.002803735,0.0009688945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005336797,"about_ca_system_score_gemma":0.004647307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003762056,"about_ca_topic_score_gemma":0.00225939,"domain_scores_codex":[0.9947884,0.002702364,0.0004231534,0.0005923351,0.001102172,0.0003916341],"domain_scores_gemma":[0.9935883,0.003309282,0.0006896832,0.0009071661,0.001072171,0.0004333791],"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":[0.000003461462,0.00001126408,0.0005106341,0.00007939366,0.000004656023,0.00007668614,0.003919828,0.0007841537,0.0001725433,0.9851846,0.0006443691,0.00860843],"study_design_scores_gemma":[0.000005574988,0.00001771238,0.0005271361,0.0001829837,0.000006737294,0.0001691887,0.004798983,0.004892935,0.0001300764,0.9489189,0.04033196,0.00001778996],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04171654,0.003909155,0.818982,0.01454316,0.0004132315,0.0009339006,0.0006151339,0.0004318568,0.118455],"genre_scores_gemma":[0.5370743,0.004108149,0.443679,0.001014567,0.0002621741,0.002180845,0.0008781913,0.0001184781,0.0106843],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9957135,"threshold_uncertainty_score":0.03872132,"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."}}