{"id":"W4399340659","doi":"10.2139/ssrn.4853723","title":"Yield Response and Economic Return to Field Foliar Humic Biostimulation on Main Grain Crops","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Plant Growth Enhancement Techniques","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre for Innovation Studies","funders":"","keywords":"Agronomy; Yield (engineering); Grain yield; Biostimulation; Environmental science; Agricultural engineering; Biology; Engineering; Materials science; Contamination; Bioremediation","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":"codex-gemma-dda1882f352a","candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.002067283,0.0002831524,0.0002629424,0.00009295784,0.0001683902,0.0002105925,0.0003724933,0.0003266737,0.00009034196],"category_scores_gemma":[0.0001726856,0.000131571,0.0001340545,0.00009522928,0.00002057851,0.00005052433,0.0003542481,0.002596435,0.00006642075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008515235,"about_ca_system_score_gemma":0.0002706308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003405596,"about_ca_topic_score_gemma":0.003536149,"domain_scores_codex":[0.9976753,0.0001616886,0.0003455096,0.0004888556,0.0001777424,0.001150907],"domain_scores_gemma":[0.9991975,0.0004221953,0.0001512023,0.00009247781,0.0000217159,0.0001149056],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.004865559,0.0001234252,0.001481515,0.00006699156,0.0004009113,0.00008625791,0.0003349032,0.0001443118,0.770732,0.04940491,0.02495985,0.1473994],"study_design_scores_gemma":[0.0001857836,0.0043346,0.007398225,0.0008378409,0.00008411251,0.0003555904,0.0002341776,0.0003672368,0.02640536,0.9523733,0.006511778,0.0009119461],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9827788,0.0007716443,0.0001735677,0.01494304,0.0004023695,0.0003879871,0.00008365382,0.0001237672,0.0003351461],"genre_scores_gemma":[0.9951307,0.001969095,0.00006404521,0.0005799737,0.0005833658,0.00002298938,0.00002332219,0.000004125632,0.001622401],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9029685,"threshold_uncertainty_score":0.9997046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01471257427500965,"score_gpt":0.2510084507913445,"score_spread":0.2362958765163349,"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."}}