{"id":"W1538418903","doi":"10.4018/978-1-878289-77-3.ch003","title":"Toward an Autopoietic Approach for Information Systems Development","year":2001,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Information Technology Governance and Strategy","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Autopoiesis; Information system; Computer science; Domain (mathematical analysis); Strengths and weaknesses; Mainstream; Scope (computer science); Independence (probability theory); Component (thermodynamics); Knowledge management; Management science; Data science; Engineering; Artificial intelligence; Epistemology; Mathematics; Political science","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":[],"consensus_categories":[],"category_scores_codex":[0.003128002,0.0008038012,0.0004917287,0.002649085,0.001375754,0.005839498,0.001922356,0.001883845,0.003837098],"category_scores_gemma":[0.001793447,0.0005230321,0.0005659601,0.002565112,0.008240247,0.00620684,0.003749308,0.004192313,0.001183088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00516156,"about_ca_system_score_gemma":0.003350142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002137558,"about_ca_topic_score_gemma":0.002406058,"domain_scores_codex":[0.9981565,0.0009627385,0.00007177742,0.0002073265,0.0005198324,0.00008177102],"domain_scores_gemma":[0.9983109,0.001044602,0.00009106555,0.000216522,0.0002226064,0.0001142671],"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":[0.00000156235,0.0000113456,0.00008047895,0.00008390639,0.000004548138,0.00004609369,0.0005125423,0.001538555,0.00008024038,0.9847108,0.001537911,0.01139192],"study_design_scores_gemma":[0.000005953279,0.00001282153,0.00009314813,0.0001582273,0.000005064846,0.00009263167,0.0002897022,0.005541589,0.0001819431,0.887971,0.105639,0.000008869843],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.00576051,0.03149491,0.6565433,0.01685056,0.0006024816,0.0001467469,0.00009715078,0.0003599813,0.2881444],"genre_scores_gemma":[0.3711021,0.0426644,0.501563,0.004634551,0.001148578,0.0009573592,0.000236852,0.0002708639,0.0774224],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.005839498,"threshold_uncertainty_score":0.0374499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02653296759197122,"score_gpt":0.2156453195422431,"score_spread":0.1891123519502718,"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."}}