{"id":"W4388825311","doi":"10.36227/techrxiv.24542293.v1","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); Management science; Cybernetics; Knowledge management; Computer science; Cognition; 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":[0.006552614,0.001381273,0.0007702268,0.0112507,0.004137287,0.0111651,0.002054655,0.003991486,0.004806034],"category_scores_gemma":[0.009259111,0.0006899623,0.001519248,0.006474326,0.01580931,0.01856522,0.005136869,0.002792902,0.0008945534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004501088,"about_ca_system_score_gemma":0.004330348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002971537,"about_ca_topic_score_gemma":0.001981951,"domain_scores_codex":[0.9937478,0.003384347,0.0004980604,0.0006692312,0.001302656,0.0003979367],"domain_scores_gemma":[0.9925454,0.00383296,0.000842378,0.001060978,0.001252701,0.0004656234],"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":[0.000004587944,0.00001365286,0.0006822799,0.0001115214,0.000006451726,0.00008975706,0.004038019,0.001032491,0.0002302095,0.9826462,0.0006276167,0.01051727],"study_design_scores_gemma":[0.000005991351,0.00002090912,0.0005085812,0.0002126825,0.00000771283,0.0001664817,0.004294745,0.005199427,0.0001473257,0.954138,0.03527806,0.00001999207],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03550941,0.003479098,0.8697693,0.01056981,0.0003889887,0.0008350066,0.0004484938,0.0003745162,0.07862533],"genre_scores_gemma":[0.4671489,0.003717735,0.5178985,0.0009085236,0.0002662395,0.001990644,0.0007088752,0.0001031306,0.007257456],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9958627,"threshold_uncertainty_score":0.03465396,"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."}}