{"id":"W2885973479","doi":"","title":"Final report for Advanced Manure Management Technologies for Ontario project - Appendix 11","year":2004,"lang":"en","type":"article","venue":"The Atrium (University of Guelph)","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Poultry Industry Council","keywords":"Appendix; Operations management; Computer science; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008306805,0.00008575163,0.0001117843,0.00007798106,0.0001370186,0.000007894503,0.0002447843,0.00005407309,0.00001133909],"category_scores_gemma":[0.000004797834,0.00008219168,0.00007279238,0.00007892354,0.00003471358,0.0001108772,0.0000534937,0.00005430906,0.000002490219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001102358,"about_ca_system_score_gemma":0.00002196524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006329964,"about_ca_topic_score_gemma":0.004002373,"domain_scores_codex":[0.9995781,0.000001631946,0.00007685173,0.0001278555,0.00007303272,0.0001425977],"domain_scores_gemma":[0.9996785,0.00001197204,0.00005928606,0.0002061064,0.00003487731,0.00000927424],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004774952,0.00009273399,0.0002307068,0.002158323,0.0003199127,0.00007259147,0.003616647,0.9519786,0.002000996,0.009954234,0.005489804,0.02360796],"study_design_scores_gemma":[0.01203528,0.0007289214,0.02309795,0.0004018271,0.0009318224,0.00009811918,0.02358223,0.01590539,0.0176261,0.02562706,0.8785159,0.001449393],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.207329,0.0001187484,0.7872586,0.0008847925,0.0001938363,0.001576801,0.00002598443,0.0005340864,0.002078125],"genre_scores_gemma":[0.9318926,0.00005650406,0.06455228,0.000004389704,0.00001123874,0.000006064667,0.00008555617,0.00001226172,0.003379054],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9360732,"threshold_uncertainty_score":0.3351679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01573593106842702,"score_gpt":0.2101077625420676,"score_spread":0.1943718314736406,"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."}}