{"id":"W2501860639","doi":"10.5539/res.v8n3p269","title":"Uncertainty and Cybernetics","year":2016,"lang":"en","type":"article","venue":"Review of European Studies","topic":"Innovation, Sustainability, Human-Machine Systems","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cybernetics; Relation (database); Element (criminal law); Information flow; Entropy (arrow of time); Computer science; Key (lock); Perspective (graphical); Epistemology; Management science; Artificial intelligence; Engineering; Philosophy; Computer security; Data mining; Law; Political science; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003759028,0.00008969923,0.0003019147,0.00003151228,0.0002082885,0.000008694034,0.0001460827,0.00001023591,0.00002593033],"category_scores_gemma":[0.00423986,0.00005327923,0.00004636009,0.0002026051,0.0006324613,0.0000793959,0.0001248351,0.00003311124,0.00002209107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007533321,"about_ca_system_score_gemma":0.0000437726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008949007,"about_ca_topic_score_gemma":0.0000894236,"domain_scores_codex":[0.9981099,0.0009400639,0.0003966332,0.0001623904,0.0002319977,0.0001590025],"domain_scores_gemma":[0.9986039,0.0002667102,0.0002026714,0.0001945775,0.000701431,0.00003067862],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007226597,0.00007937495,0.02661304,0.02192647,0.0002678394,0.0000133682,0.02780741,5.867722e-7,0.00006944675,0.655457,0.05524578,0.2125125],"study_design_scores_gemma":[0.0001606471,0.00004930176,0.0114325,0.007563599,0.00004489407,9.450158e-7,0.004763019,1.694124e-7,0.000003705545,0.001899398,0.9739283,0.0001535782],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.05142062,0.5708562,0.00007369021,0.01552689,0.0004971729,0.001254794,0.00001138828,0.0001169469,0.3602423],"genre_scores_gemma":[0.6937109,0.3019682,0.0000740134,0.0003101162,0.0002680896,0.000006044873,5.606842e-7,0.00001179047,0.003650284],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.9186825,"threshold_uncertainty_score":0.5075814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05318563631606778,"score_gpt":0.3857402776454552,"score_spread":0.3325546413293874,"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."}}