{"id":"W1986800396","doi":"10.1002/prs.11704","title":"Safety challenges in harsh environments: Lessons learned","year":2014,"lang":"en","type":"article","venue":"Process Safety Progress","topic":"Icing and De-icing Technologies","field":"Engineering","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Engineering; Process (computing); Scarcity; Process safety; Risk analysis (engineering); Engineering management; Work in process; Business; Operations management; Computer 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00829041,0.001527473,0.001132098,0.001267419,0.001696629,0.004513584,0.003306741,0.00505029,0.00554209],"category_scores_gemma":[0.008168316,0.0003969996,0.0007705204,0.0009728943,0.004780661,0.01088447,0.004334458,0.008487245,0.001755406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002262487,"about_ca_system_score_gemma":0.006123327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00498832,"about_ca_topic_score_gemma":0.007844951,"domain_scores_codex":[0.997584,0.0006648127,0.0001603938,0.0003908545,0.0008719385,0.0003280091],"domain_scores_gemma":[0.9886805,0.006145808,0.0003249,0.0005523977,0.003007837,0.001288556],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001088469,0.0005482093,0.0032731,0.007451442,0.0001119752,0.001207733,0.004483172,0.008686742,0.002345241,0.06725679,0.08959763,0.8149291],"study_design_scores_gemma":[0.0000601448,0.000716469,0.003743374,0.00820032,0.0000911786,0.001933924,0.02684928,0.004813608,0.004785374,0.2550579,0.6935213,0.0002270581],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.03022365,0.4336185,0.05744475,0.4053925,0.0127634,0.0001777752,0.0004455051,0.0005770969,0.05935692],"genre_scores_gemma":[0.2439077,0.6242458,0.05191179,0.05532838,0.006212628,0.0001899059,0.0004898174,0.0001990246,0.01751497],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00829041,"threshold_uncertainty_score":0.0438444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03907624221541304,"score_gpt":0.2766282667285873,"score_spread":0.2375520245131743,"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."}}