{"id":"W1607139165","doi":"10.1017/s2040470019000013","title":"Proceedings of the British Society of Animal Science","year":2019,"lang":"en","type":"preprint","venue":"Advances in Animal Biosciences","topic":"Coal and Coke Industries Research","field":"Energy","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Genome Canada","keywords":"Rumen; Respiration; Production (economics); Methane; Fermentation; Process (computing); Environmental science; Computer science; Chemistry; Food science; Biology; Botany; Economics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.001489105,0.0006460817,0.0009339347,0.001328664,0.0009859519,0.002558059,0.0007608638,0.001432595,0.1156245],"category_scores_gemma":[0.001594639,0.000396335,0.000534006,0.002167999,0.001189962,0.0008607595,0.001047518,0.001473285,0.03542098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002172265,"about_ca_system_score_gemma":0.003070726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03044771,"about_ca_topic_score_gemma":0.03709912,"domain_scores_codex":[0.9992622,0.000103799,0.00007009443,0.0001376635,0.0003445033,0.00008182663],"domain_scores_gemma":[0.9974419,0.0005128016,0.000155322,0.0004433964,0.00109082,0.000355788],"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":[0.0005902589,0.0001720855,0.004365014,0.0008081851,0.0001057773,0.0002408201,0.0001604113,0.0006540875,0.004863385,0.007224893,0.5820572,0.3987579],"study_design_scores_gemma":[0.00001138531,0.00003990738,0.008905875,0.0001007591,0.00002661817,0.0001322945,0.00009362942,0.0002679555,0.0005950627,0.001320861,0.9884958,0.000009808699],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03334323,0.1344403,0.007299493,0.03420921,0.0469598,0.0002017262,0.01135921,0.0009632827,0.7312238],"genre_scores_gemma":[0.03712504,0.02982006,0.002653258,0.0008292602,0.002502992,0.00008854413,0.003160696,0.0002431853,0.9235769],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1156245,"threshold_uncertainty_score":0.3868026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02605682211866571,"score_gpt":0.3108731661300008,"score_spread":0.2848163440113351,"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."}}