{"id":"W2016881582","doi":"10.1016/j.biosystemseng.2003.09.006","title":"Physical Properties of Granular Organic-based Fertilisers, Part 1: Static Properties","year":2003,"lang":"en","type":"article","venue":"Biosystems Engineering","topic":"Polymer-Based Agricultural Enhancements","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Angle of repose; Bulk density; Porosity; Granule (geology); Organic matter; Ultimate tensile strength; Particle density; Particle size; Dispose pattern; Physical property; Materials science; Particle-size distribution; Granular matter; Mineralogy; Chemistry; Composite material; Granular material; Soil science; Environmental science; Waste management; Organic chemistry; Volume (thermodynamics); Soil water; Thermodynamics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001998364,0.000211515,0.0001878245,0.0002960717,0.0001916035,0.0003944054,0.0001607986,0.0002334212,0.001622529],"category_scores_gemma":[0.0006148765,0.0001272091,0.0001492472,0.0003385765,0.0002692778,0.0003235719,0.0001861564,0.0002541009,0.0001859302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002173736,"about_ca_system_score_gemma":0.0001511804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001022317,"about_ca_topic_score_gemma":0.0008311175,"domain_scores_codex":[0.9998493,0.00001355993,0.000008679746,0.00002880735,0.00007237231,0.00002727503],"domain_scores_gemma":[0.9997596,0.00009904724,0.00005208196,0.00001045788,0.00005403048,0.00002482411],"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":[0.0002370797,0.00002251049,0.001429467,0.0001289344,0.0000137675,0.00006296398,0.00004215487,0.001897736,0.9894015,0.0003186543,0.0001074659,0.006337818],"study_design_scores_gemma":[0.00001832032,0.0003143372,0.01917137,0.00001245823,0.0000321097,0.0001395797,0.0001228455,0.004821976,0.9728804,0.000341274,0.002124798,0.00002049699],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952531,0.0007174505,0.001877385,0.00003147193,0.00001513373,0.00001232181,0.0002002578,0.00001832988,0.00187448],"genre_scores_gemma":[0.9981195,0.0002601691,0.0003022286,0.00001180329,0.000003558689,0.000005816037,0.0001536156,0.000007677214,0.00113557],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001622529,"threshold_uncertainty_score":0.005427897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01268713756242472,"score_gpt":0.1647860244118339,"score_spread":0.1520988868494091,"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."}}