{"id":"W6940314886","doi":"10.6084/m9.figshare.29537948","title":"Decarbonizing Canada’s Livestock Supply Chain","year":2025,"lang":"en","type":"dataset","venue":"Figshare","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Livestock; Supply chain; Agriculture; General equilibrium theory; Core (optical fiber); Partial equilibrium","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007710166,0.0008668979,0.0005980594,0.00208935,0.0008804196,0.001754072,0.001758943,0.001073226,0.007996811],"category_scores_gemma":[0.004031754,0.0004495509,0.0008445318,0.006516206,0.0003716885,0.0008077556,0.0006643672,0.00120188,0.00197297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01526446,"about_ca_system_score_gemma":0.01909213,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9718551,"about_ca_topic_score_gemma":0.9773117,"domain_scores_codex":[0.9995437,0.00007402201,0.00001852424,0.00009669318,0.0001482528,0.000118856],"domain_scores_gemma":[0.9983505,0.0002871956,0.0001374081,0.0001752176,0.0008978865,0.0001517953],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002257557,0.0001001718,0.03575765,0.0006539366,0.0002718093,0.0001711473,0.0001266846,0.1608774,0.0003035049,0.01247473,0.7706253,0.0184119],"study_design_scores_gemma":[0.0004929664,0.0000507445,0.06414901,0.0006834624,0.0001654388,0.0001020435,0.0005560933,0.2029091,0.001404522,0.008925693,0.7203986,0.0001622567],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01670052,0.0006479244,0.0009765845,0.00107851,0.00004395576,0.00003955495,0.9739493,0.0004697866,0.006093818],"genre_scores_gemma":[0.06331691,0.0008132238,0.003248769,0.0003004513,0.0000162771,0.00009839985,0.9269307,0.0001068483,0.005168362],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0281449,"threshold_uncertainty_score":0.1107519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01648404772347122,"score_gpt":0.2095227025323178,"score_spread":0.1930386548088465,"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."}}