{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001844813,0.0003537954,0.0008233785,0.0005308501,0.0002295246,0.0000850369,0.0003795001,0.0001113678,0.0004995854],"category_scores_gemma":[0.00004475198,0.0002246986,0.0002551939,0.004572962,0.00008335376,0.0003159665,0.0002929757,0.000373362,0.000002299392],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005545508,"about_ca_system_score_gemma":0.0001158144,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2595302,"about_ca_topic_score_gemma":0.2195217,"domain_scores_codex":[0.9967719,0.000711424,0.000754526,0.0006222834,0.0006037329,0.0005361679],"domain_scores_gemma":[0.9987411,0.00009586893,0.0001750838,0.0006809971,0.00001083367,0.0002960478],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000003791469,0.0004455182,0.9678937,0.0001025409,0.0007925344,0.0002070046,0.00113109,0.02037113,0.00001284227,0.00001304045,0.0001683304,0.008858482],"study_design_scores_gemma":[0.0003301614,0.0003560791,0.9382052,0.0001125642,0.002196429,0.00003709913,0.05281419,0.005492515,6.119796e-7,0.0000218789,0.0001736031,0.0002596637],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944236,0.001295573,0.0001193286,0.001205676,0.00001441103,0.001911959,0.00003668462,0.000007156669,0.0009855544],"genre_scores_gemma":[0.9989726,0.0002601405,0.00004132468,0.0003740314,0.00000449655,0.0001419312,0.00002535845,0.000008816401,0.0001713092],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0516831,"threshold_uncertainty_score":0.998272,"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."}}