{"id":"W2617200995","doi":"","title":"Environmental management framework : executive summary","year":2017,"lang":"en","type":"article","venue":"","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Audit; Business; Montreal Protocol; Government (linguistics); Unit (ring theory); Phase (matter); Protocol (science); Process management; Operations management; Environmental planning; Environmental resource management; Risk analysis (engineering); Engineering; Ozone layer; Accounting; Environmental science; Ozone; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001726174,0.0001061173,0.00008318094,0.00001108443,0.0005345643,0.00009264771,0.0004242148,0.00005006791,0.009860037],"category_scores_gemma":[0.000004342044,0.00009157812,0.00005203031,0.00001426082,0.0002585084,0.0002656964,0.0006379509,0.00009264641,0.003350637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001328557,"about_ca_system_score_gemma":0.000001157921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001731084,"about_ca_topic_score_gemma":0.00002044699,"domain_scores_codex":[0.9991033,0.00003347956,0.0001289574,0.0002502008,0.0002639585,0.000220109],"domain_scores_gemma":[0.9992043,0.00001280105,0.00007762358,0.0006095576,3.454176e-7,0.00009539133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001094161,0.001115383,0.4837567,0.00003155889,0.0002098444,0.0002023635,0.002756292,0.0002383223,0.002441245,0.08638646,0.2307969,0.1919556],"study_design_scores_gemma":[0.0002466672,0.00003003152,0.7330816,0.0000179709,0.0000141791,0.000002445264,0.0002757054,0.00006659885,0.001547321,0.01173038,0.2527583,0.0002287991],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09948112,0.00001705285,0.006109339,0.002232569,0.0003048285,0.0002545902,0.00001450148,0.00005720649,0.8915288],"genre_scores_gemma":[0.9373277,0.00006556428,0.008522237,0.0008729149,0.00003115747,0.00001658107,0.000002786464,0.000006925336,0.05315408],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8383747,"threshold_uncertainty_score":0.9974254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01847234771415483,"score_gpt":0.2739693979092771,"score_spread":0.2554970501951223,"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."}}