{"id":"W3108591638","doi":"10.1093/jas/skaa278.084","title":"72 Estimating the supply and movement of feed for beef production in Alberta, Canada","year":2020,"lang":"en","type":"article","venue":"Journal of Animal Science","topic":"Agriculture Sustainability and Environmental Impact","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; University of Manitoba","funders":"","keywords":"Hay; Livestock; Legume; Agronomy; Beef cattle; Context (archaeology); Dry matter; Crop; Cattle feeding; Animal science; Geography; Biology; Environmental science; Dairy cattle; Forestry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0006927592,0.0006405016,0.0003166859,0.004330992,0.00138742,0.001535177,0.0009460327,0.0002969509,0.00194486],"category_scores_gemma":[0.001461596,0.0004077725,0.0005908273,0.006690294,0.0003635667,0.0003308768,0.0004958291,0.0003391973,0.0003401487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04703406,"about_ca_system_score_gemma":0.03786626,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9983224,"about_ca_topic_score_gemma":0.9989827,"domain_scores_codex":[0.9994279,0.00003454809,0.00002913258,0.00008628539,0.0002890076,0.0001330808],"domain_scores_gemma":[0.9986013,0.0001035186,0.0001109634,0.00003152293,0.001011003,0.0001417226],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000212191,0.00006842483,0.8895409,0.0002849433,0.0003174218,0.0004648612,0.0005472415,0.04589377,0.001661466,0.001243277,0.01011642,0.04964908],"study_design_scores_gemma":[0.00002199148,0.00002998478,0.9430449,0.0001134015,0.00009139127,0.00007546624,0.001865661,0.03990965,0.0005027008,0.0002385003,0.01406256,0.0000437594],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9248677,0.003149395,0.003731449,0.0005174683,0.00003853245,0.0002006147,0.04973756,0.0001700427,0.01758734],"genre_scores_gemma":[0.9534268,0.002241847,0.007415907,0.0001392738,0.0000124519,0.00005761774,0.02523834,0.00003315886,0.0114345],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04703406,"threshold_uncertainty_score":0.3412576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007722039770000006,"score_gpt":0.2166422223952531,"score_spread":0.2089201826252531,"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."}}