{"id":"W2014752368","doi":"10.1177/0007650314567438","title":"Institutional Resilience in Extreme Operating Environments","year":2015,"lang":"en","type":"article","venue":"Business & Society","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; McGill University; HEC Montréal","funders":"","keywords":"Work (physics); Social capital; Resilience (materials science); Psychological resilience; Politics; Institutional analysis; Political science; Public relations; Capital (architecture); Business; Sociology; Social psychology; Psychology; Geography; Social science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00131481,0.00009805511,0.0001457289,0.00003102791,0.0006581821,0.000007320346,0.0001655452,0.0001500995,0.0001902146],"category_scores_gemma":[0.0005800939,0.00008722802,0.00003216188,0.0004813745,0.0001203832,0.0002638483,0.0001519033,0.0004751883,0.0004760544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006227619,"about_ca_system_score_gemma":0.001931216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008214643,"about_ca_topic_score_gemma":0.0001637932,"domain_scores_codex":[0.9980994,0.0002086733,0.0003927044,0.0002472778,0.0005497032,0.0005022268],"domain_scores_gemma":[0.999141,0.0002304392,0.00006830652,0.0001800581,0.0001711832,0.0002089515],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000898765,0.0001720783,0.9727223,0.0002210488,0.000005565397,0.000009053004,0.005667425,0.002308941,0.0003591291,0.001675205,0.01100591,0.005763507],"study_design_scores_gemma":[0.001166211,0.00001196288,0.9615152,0.0001159848,0.000001268499,0.000001057312,0.001981119,0.003903084,0.000003732962,0.000215499,0.0309848,0.0001000028],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.975656,0.0004833855,0.003442782,0.005033539,0.000767133,0.001055703,0.00002664019,0.00004676767,0.01348801],"genre_scores_gemma":[0.9938942,0.0001647301,0.002679395,0.001369823,0.0003292091,0.0002099039,0.00006529957,0.00001139036,0.001276067],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01997889,"threshold_uncertainty_score":0.6118875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2669230014426598,"score_gpt":0.4535047499712919,"score_spread":0.186581748528632,"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."}}