{"id":"W2513207392","doi":"10.1002/cjce.22622","title":"CSChE chemical spill environmental/ecological risk assessment guideline development","year":2016,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Safety Canada","funders":"","keywords":"Guideline; Scope (computer science); Credibility; Stakeholder; Process (computing); Business; Risk analysis (engineering); Government (linguistics); Product (mathematics); Risk assessment; Environmental resource management; Chemical industry; Environmental planning; Environmental science; Engineering; Environmental economics; Computer science; Environmental engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003171737,0.0001786527,0.0003751981,0.0001903113,0.0001248004,0.00009894839,0.00107022,0.0001252012,0.001388184],"category_scores_gemma":[0.002515226,0.00008443069,0.0002515363,0.0002643338,0.0001452517,0.0001299809,0.00007355763,0.000414861,0.00008974141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00061949,"about_ca_system_score_gemma":0.0004872221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008038359,"about_ca_topic_score_gemma":0.00007909776,"domain_scores_codex":[0.9971893,0.00007016384,0.001186143,0.0002147614,0.0009282816,0.0004113906],"domain_scores_gemma":[0.9976233,0.0008169931,0.0003568059,0.0003330403,0.0001258411,0.000744008],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006635796,0.0001112009,0.02340665,0.00000507197,0.0006116973,0.000324326,0.0005836446,0.0126171,0.5594803,0.001256593,0.01800301,0.383534],"study_design_scores_gemma":[0.003249701,0.0001813775,0.03934726,0.0001800799,0.000378121,0.0007362607,0.000209024,0.02102163,0.417177,0.02028459,0.4956665,0.001568442],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9757049,0.0002416829,0.01490487,0.008577923,0.0002319561,0.00006374973,0.00001556624,0.000009702984,0.0002496357],"genre_scores_gemma":[0.9890718,0.00002168196,0.01038746,0.0001805166,0.000225249,0.00000220921,0.000001330152,0.00001236034,0.00009743475],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4776635,"threshold_uncertainty_score":0.9995247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02633048697660601,"score_gpt":0.2738052305149885,"score_spread":0.2474747435383825,"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."}}