{"id":"W2362495766","doi":"","title":"Highway Environment Protection and Environmental Impacts Evaluation","year":2004,"lang":"en","type":"article","venue":"Sci/tech Information Development & Economy","topic":"Evaluation Methods in Various Fields","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Key (lock); Environmental impact assessment; Environmental resource management; Transport engineering; Environmental science; Risk analysis (engineering); Engineering; Environmental planning; Computer science; Business; Computer security","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004832732,0.0006067195,0.0003399245,0.005114234,0.00111673,0.001725098,0.0006256973,0.0004672782,0.006870988],"category_scores_gemma":[0.008426533,0.0001822844,0.000576628,0.004582639,0.0009517183,0.001442679,0.00159497,0.0005168346,0.0006429024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004042706,"about_ca_system_score_gemma":0.00624673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0555245,"about_ca_topic_score_gemma":0.07041103,"domain_scores_codex":[0.9845288,0.00447004,0.0004171889,0.0003958191,0.009348461,0.0008396312],"domain_scores_gemma":[0.9931723,0.00129434,0.000576206,0.0002487354,0.004511748,0.0001966854],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000476675,0.0004414805,0.1475792,0.001387903,0.0003037097,0.0002988642,0.001504647,0.04573813,0.003417976,0.06715161,0.02049389,0.711206],"study_design_scores_gemma":[0.00008660847,0.001886607,0.510843,0.001032465,0.0004639394,0.0006365117,0.01107745,0.04836329,0.03180807,0.03252568,0.3610212,0.0002552581],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2779139,0.003875335,0.1001434,0.002138103,0.0001702772,0.001603323,0.005616795,0.0005149642,0.608024],"genre_scores_gemma":[0.9278175,0.002832256,0.03286481,0.0002150923,0.0000490466,0.0004578986,0.003354133,0.00006783319,0.03234138],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0555245,"threshold_uncertainty_score":0.1104026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02239422642039224,"score_gpt":0.2453828481909116,"score_spread":0.2229886217705193,"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."}}