{"id":"W1971377485","doi":"10.1108/03684920710827274","title":"Designing cybersystemically for symviability","year":2007,"lang":"en","type":"article","venue":"Kybernetes","topic":"Earth Systems and Cosmic Evolution","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Cybernetics; Entertainment; Civilization; Order (exchange); Computer science; Sociology; Epistemology; Engineering ethics; Knowledge management; Business; Artificial intelligence; Political science; Law; Engineering; Philosophy","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":[],"consensus_categories":[],"category_scores_codex":[0.001276722,0.00009314087,0.0001322862,0.00003919455,0.0001121032,0.00002961778,0.0001153091,0.0000678018,0.0002178798],"category_scores_gemma":[0.0001150781,0.00007717413,0.00006791342,0.00009982663,0.00003740381,0.0001074441,0.000003561627,0.00005756415,0.0001436656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006406599,"about_ca_system_score_gemma":0.00002457756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001193859,"about_ca_topic_score_gemma":0.002413383,"domain_scores_codex":[0.9990039,0.00003497746,0.0002661581,0.0002139533,0.000152129,0.0003288109],"domain_scores_gemma":[0.999137,0.0004889123,0.00007524569,0.0001393304,0.0000566662,0.000102843],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003839957,0.000007937635,0.9652364,0.00005805256,0.00001383757,0.000001801636,0.0001397332,0.0001966388,0.0003963211,0.003783333,0.001144462,0.02898314],"study_design_scores_gemma":[0.000547794,0.000252672,0.9257624,0.00008711083,0.00002472393,0.00002372822,0.0004670429,0.006196886,0.001545625,0.04409505,0.02061248,0.0003844758],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8438244,0.002054066,0.02534306,0.0001482382,0.001155086,0.001087688,0.00006174525,0.0002582514,0.1260675],"genre_scores_gemma":[0.9910062,0.000002253553,0.008055564,0.00009125932,0.000240407,0.000001853025,0.00003241147,0.000003023408,0.0005670398],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1471818,"threshold_uncertainty_score":0.314707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01420277402143473,"score_gpt":0.2219120756639988,"score_spread":0.207709301642564,"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."}}