{"id":"W4417148520","doi":"10.1016/j.eiar.2025.108219","title":"Life beyond the checklist: Revitalizing the potential of environmental impact assessments through co-creation","year":2025,"lang":"en","type":"article","venue":"Environmental Impact Assessment Review","topic":"Environmental and Social Impact Assessments","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Lethbridge","funders":"Ministero dell'Università e della Ricerca; Beijing Normal University; Dipartimenti di Eccellenza; Università Ca' Foscari di Venezia; Università Ca' Foscari Venezia","keywords":"Work (physics); Process (computing); Vitality; Environmental impact assessment; Social impact assessment; Checklist; Impact assessment","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001743685,0.0009991174,0.001134164,0.00006828865,0.001299216,0.0001830744,0.001482241,0.0002280653,0.0156004],"category_scores_gemma":[0.00007466252,0.0005895084,0.001219447,0.0005599262,0.001564554,0.001314481,0.001131329,0.0008289654,0.0004266114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003221153,"about_ca_system_score_gemma":0.0001763995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000607293,"about_ca_topic_score_gemma":0.00001297857,"domain_scores_codex":[0.9935119,0.0009952501,0.001524281,0.000908337,0.001899162,0.001161102],"domain_scores_gemma":[0.9967314,0.0002519233,0.001066019,0.001533617,0.00000514165,0.0004118751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001451122,0.003201491,0.7893301,0.0005174908,0.001913739,0.00003088322,0.0008581108,0.001276347,0.08427782,0.000289956,0.07555448,0.04260445],"study_design_scores_gemma":[0.001186813,0.0004884264,0.9749836,0.0005207488,0.0009771701,0.00003672612,0.0009551411,0.0003023006,0.000911997,0.000553097,0.01833193,0.0007519955],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9062238,0.03024837,0.001726061,0.003929606,0.0006707265,0.006246127,0.0008484983,0.0001051548,0.05000162],"genre_scores_gemma":[0.9542721,0.03764338,0.000446603,0.005276313,0.0001060993,0.0002525555,0.0004772334,0.0000782893,0.001447419],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1856535,"threshold_uncertainty_score":0.9996556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01090467673678177,"score_gpt":0.3764187312828413,"score_spread":0.3655140545460596,"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."}}