{"id":"W3157376759","doi":"10.1016/j.ssci.2021.105278","title":"Virtual Special Issue: Mapping Safety Science – Reviewing Safety Research","year":2021,"lang":"en","type":"article","venue":"Safety Science","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Poison control; Occupational safety and health; Human factors and ergonomics; Injury prevention; Engineering; Suicide prevention; Transport engineering; Engineering ethics; Data science; Medical emergency; Forensic engineering; Computer science; Medicine","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":["metaresearch","metaepi_narrow","bibliometrics","sts","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["metaresearch","sts","insufficient_payload"],"category_scores_codex":[0.1011207,0.000476862,0.001146098,0.002580671,0.01019218,0.002195921,0.008362332,0.0001770082,0.007899155],"category_scores_gemma":[0.05388898,0.0003873175,0.0005267833,0.05307232,0.01041922,0.004434071,0.003966981,0.00126063,0.005947653],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001239018,"about_ca_system_score_gemma":0.006794377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001114158,"about_ca_topic_score_gemma":0.0001697511,"domain_scores_codex":[0.9726577,0.001533177,0.002685925,0.003734278,0.01672869,0.002660177],"domain_scores_gemma":[0.9829952,0.003890784,0.0005730987,0.003971256,0.007340416,0.001229253],"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":[0.0001845204,0.0001868112,0.002587765,0.00001168433,0.00002231982,0.0001675531,0.005131162,0.001931651,0.01247666,0.06628847,0.007182274,0.9038291],"study_design_scores_gemma":[0.0005417932,0.00011291,0.04945779,0.0002131557,0.0000209991,0.00008480964,0.01100698,0.005493445,0.003027746,0.0236915,0.905645,0.0007039359],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03213637,0.003029466,0.04002117,0.05310263,0.01000397,0.001288972,0.0001683246,0.0002846899,0.8599644],"genre_scores_gemma":[0.9309729,0.01097818,0.01448336,0.002052915,0.008223632,0.00002455989,0.00002291224,0.00006862889,0.03317286],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9031252,"threshold_uncertainty_score":0.9998579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1900535692075734,"score_gpt":0.4528807168586284,"score_spread":0.262827147651055,"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."}}