{"id":"W2586748678","doi":"","title":"Proceedings of the 15th London Swine Conference: Production Technologies to Meet Market Demands, 1-2 April 2015, London, Ontario, Canada.","year":2015,"lang":"en","type":"article","venue":"","topic":"Metallurgy and Material Science","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Production (economics); Library science; Political science; Media studies; Sociology; Economics; Computer science","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":[0.003232899,0.0009870238,0.0006142919,0.001253251,0.00355965,0.00474014,0.001320763,0.001545124,0.1184277],"category_scores_gemma":[0.001532288,0.000495453,0.0005191888,0.001397953,0.001754916,0.001387788,0.002266945,0.00174415,0.02714341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00892962,"about_ca_system_score_gemma":0.01702821,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3011506,"about_ca_topic_score_gemma":0.7848727,"domain_scores_codex":[0.998396,0.0001260037,0.00004789396,0.0001076925,0.001021567,0.0003009433],"domain_scores_gemma":[0.997999,0.0001343139,0.0000784949,0.00008354911,0.001085732,0.0006188516],"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":[0.0001875375,0.00006017888,0.001175979,0.0002137294,0.00001505682,0.000124626,0.0002627939,0.0003223727,0.002861669,0.001659249,0.9528155,0.04030128],"study_design_scores_gemma":[0.00001178775,0.00005401573,0.004517615,0.0001013301,0.00000954497,0.0000535495,0.0006318218,0.0001587683,0.001593619,0.0004725409,0.9923766,0.00001878374],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02771847,0.06065242,0.01441583,0.06300781,0.05001718,0.0009331348,0.01707604,0.001430925,0.7647482],"genre_scores_gemma":[0.02750711,0.01121121,0.003891326,0.001545175,0.001096619,0.00007273941,0.004417351,0.0003697006,0.9498888],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6988494,"threshold_uncertainty_score":0.5987954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01823187436920093,"score_gpt":0.2197030864714735,"score_spread":0.2014712121022725,"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."}}