{"id":"W4410055052","doi":"10.1016/j.eiar.2025.107959","title":"Analysis of sustainability assessments to understand modeling trends and habits in the Agri-food industry: A Canadian case study","year":2025,"lang":"en","type":"article","venue":"Environmental Impact Assessment Review","topic":"Sustainable Agricultural Systems Analysis","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Sustainability; Environmental planning; Food industry; Business; Natural resource economics; Environmental resource management; Environmental science; Economics; Political science; Ecology; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003938268,0.0006751659,0.0003717233,0.003482037,0.001654213,0.002554224,0.001231788,0.0003999199,0.00178352],"category_scores_gemma":[0.006480463,0.0002180659,0.0008262651,0.006751052,0.0007872799,0.001286354,0.0007703368,0.0006147197,0.0001404618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03793173,"about_ca_system_score_gemma":0.0477362,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.966646,"about_ca_topic_score_gemma":0.9839536,"domain_scores_codex":[0.9978249,0.0004591655,0.00006944687,0.0001325407,0.001177683,0.0003362607],"domain_scores_gemma":[0.9951203,0.00102539,0.0002698969,0.0001478288,0.003260621,0.0001758794],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002960324,0.0004925713,0.2402205,0.001367997,0.000474884,0.0007556207,0.00704321,0.1837661,0.003360823,0.04463641,0.01779008,0.4997958],"study_design_scores_gemma":[0.0000477343,0.0003130144,0.5216221,0.001023422,0.0005187969,0.0001907044,0.02604432,0.3006532,0.004654421,0.01619674,0.1285463,0.0001892054],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.854701,0.0075796,0.02548457,0.005110529,0.00005879137,0.0006382693,0.005154558,0.0003067375,0.100966],"genre_scores_gemma":[0.9626468,0.004823925,0.02140369,0.0001390787,0.00001093373,0.00008995987,0.00179917,0.00006306692,0.009023393],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03793173,"threshold_uncertainty_score":0.2752152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02021108257991353,"score_gpt":0.3582780309484383,"score_spread":0.3380669483685248,"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."}}