{"id":"W28590579","doi":"10.1111/jeb.13127","title":"Design of Manure Gathering Machine","year":2008,"lang":"en","type":"article","venue":"Journal of Evolutionary Biology","topic":"Belt Conveyor Systems Engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; University of Guelph","keywords":"Manure; Computer science; Environmental science; Agricultural engineering; Engineering; Agronomy","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":[0.0004972744,0.0008259593,0.0005949368,0.0007389192,0.0007925776,0.0009572314,0.001466179,0.0008199778,0.05838943],"category_scores_gemma":[0.0009891198,0.0003048524,0.0003965253,0.0005704546,0.0002754716,0.001047317,0.001163082,0.0003905268,0.01575037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003975751,"about_ca_system_score_gemma":0.0007147681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008671254,"about_ca_topic_score_gemma":0.00114528,"domain_scores_codex":[0.999589,0.00005434701,0.00002530979,0.0001401077,0.0001168495,0.00007439685],"domain_scores_gemma":[0.9995302,0.00006788994,0.00003975207,0.0001350175,0.0001526685,0.00007452213],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002500227,0.0004323059,0.0106348,0.001137457,0.00006909122,0.000758587,0.0003374266,0.01776324,0.13386,0.01169472,0.05142443,0.7693877],"study_design_scores_gemma":[0.0004446778,0.002762939,0.02336813,0.0002187327,0.0002331028,0.001161902,0.0007546837,0.1976249,0.1541698,0.01009832,0.6089458,0.0002169703],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1399883,0.0008290993,0.6598631,0.001420658,0.001635278,0.003457052,0.00549776,0.03433566,0.1529731],"genre_scores_gemma":[0.5883507,0.0004286144,0.3014059,0.0006581336,0.0001658571,0.001928411,0.003866801,0.001081429,0.1021143],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.05838943,"threshold_uncertainty_score":0.1953321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0183824443261103,"score_gpt":0.2022171906456565,"score_spread":0.1838347463195462,"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."}}