{"id":"W112646780","doi":"10.3844/ajbbsp.2012.128.142","title":"KINETICS OF THIN LAYER DRYING OF POULTRY MANURE","year":2012,"lang":"en","type":"article","venue":"American journal of biochemistry & biotechnology/American journal of biochemistry and biotechnology","topic":"Food Drying and Modeling","field":"Agricultural and Biological Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Manure; Environmental science; Water content; Moisture; Agronomy; Manure management; Materials science; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0007842113,0.0004674326,0.001475633,0.0002115551,0.00009452078,0.00001871346,0.001182584,0.0008019631,0.00002642792],"category_scores_gemma":[0.000527618,0.0002545236,0.000465983,0.001298513,0.003587196,0.0001300454,0.0002771511,0.001437895,7.82913e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008359669,"about_ca_system_score_gemma":0.000075376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005583525,"about_ca_topic_score_gemma":0.00000125517,"domain_scores_codex":[0.9965926,0.0000916893,0.00178329,0.0003497487,0.000484574,0.0006980924],"domain_scores_gemma":[0.993682,0.0002444593,0.004922225,0.0003046099,0.000527144,0.000319586],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000305105,0.0003557727,0.002926585,0.00005923772,0.0002257083,0.00001713114,0.000073961,0.000007760278,0.8453276,0.00003270794,0.00008780297,0.1505806],"study_design_scores_gemma":[0.0004161878,0.003450153,0.0005026535,0.0003369151,0.0001861796,0.00268635,0.01098812,0.000009752944,0.9799302,0.00007888868,0.001053902,0.0003607522],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897317,0.004491387,0.0002097511,0.005192702,0.0001680753,0.00006482726,0.00005550283,0.00003896613,0.00004703847],"genre_scores_gemma":[0.9907543,0.002036023,0.006697621,0.00010513,0.0003688804,0.000001102814,0.000006806615,0.000009170772,0.00002093506],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1502199,"threshold_uncertainty_score":0.9999907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009289206866461066,"score_gpt":0.2230978772533053,"score_spread":0.2138086703868443,"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."}}