{"id":"W4409073964","doi":"10.26443/msurj.v1i1.225","title":"Assessing Changes in Feed Security of the Québec Dairy Industry in 2050","year":2025,"lang":"en","type":"article","venue":"McGill Science Undergraduate Research Journal","topic":"Agriculture and Rural Development Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Resources Canada; U.S. Geological Survey; National Oceanic and Atmospheric Administration; Parks Canada; McGill University","keywords":"Dairy industry; Business; Agricultural science; Environmental science; Chemistry; Food science","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":[0.0004683672,0.0004972005,0.0002055894,0.000645901,0.0007359329,0.001499626,0.0007589412,0.0005728072,0.002797921],"category_scores_gemma":[0.0007592037,0.0001764483,0.0006830775,0.0009863338,0.000409069,0.0004031152,0.0003994095,0.0003695599,0.0001784803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03029261,"about_ca_system_score_gemma":0.009800562,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9872644,"about_ca_topic_score_gemma":0.9862078,"domain_scores_codex":[0.9998031,0.00003426386,0.000005425432,0.00003346689,0.00004440205,0.00007926625],"domain_scores_gemma":[0.9996054,0.00006995373,0.00003738898,0.00001675109,0.0002104521,0.00006008861],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002917409,0.00009731789,0.2333173,0.0001035973,0.0003615802,0.0003315005,0.0001885932,0.7365822,0.003049252,0.002325218,0.004942151,0.0184095],"study_design_scores_gemma":[0.00006740414,0.0002186061,0.4285566,0.0001157464,0.0001650598,0.00007426953,0.001696289,0.55243,0.001427418,0.0007679226,0.01436919,0.0001115243],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9736761,0.0005095201,0.001780761,0.0007086694,0.00001973933,0.00007216841,0.01173368,0.0001005767,0.01139885],"genre_scores_gemma":[0.9931236,0.0002391174,0.00134178,0.00009159321,0.000002383626,0.00002362134,0.002669189,0.00001068864,0.002498136],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03029261,"threshold_uncertainty_score":0.2197893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06186468084232511,"score_gpt":0.3577090244237592,"score_spread":0.2958443435814341,"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."}}