{"id":"W2797161021","doi":"10.5539/jas.v10n5p288","title":"Biofertilizer Microgeo® on Rice Crop: Yield and Seed Quality","year":2018,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Soil Management and Crop Yield","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mathematics; Yield (engineering); Agronomy; Germination; Crop; Biofertilizer; Grain quality; Grain yield; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007865711,0.0001342057,0.0001813825,0.00002808174,0.0004543878,0.0002368586,0.000510091,0.00005373728,0.0001295808],"category_scores_gemma":[0.0002516708,0.00003741219,0.00008681773,0.0008386564,0.0004806233,0.0004763914,0.0001230206,0.0001510657,0.00003914288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003500611,"about_ca_system_score_gemma":0.0000109049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001388989,"about_ca_topic_score_gemma":0.0001231418,"domain_scores_codex":[0.9985401,0.00003222107,0.0003299099,0.0002379794,0.0005489425,0.0003108554],"domain_scores_gemma":[0.9989215,0.0001611917,0.0002854473,0.00004888382,0.0003948875,0.0001881525],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00004916142,0.00005451548,0.01168417,0.000002770248,0.000007266475,0.000002616321,0.00009920385,4.496758e-7,0.9783314,0.0001985409,0.001648177,0.007921722],"study_design_scores_gemma":[0.00009762115,0.0006889746,0.9567509,0.00003425125,0.00001028952,0.0000271388,0.0006506275,0.000001509861,0.03916742,0.0001020336,0.002336817,0.0001323897],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916344,0.00008860164,7.344593e-7,0.003645795,0.0003365867,0.00007547324,0.0000023019,0.00001734284,0.004198772],"genre_scores_gemma":[0.9982606,0.0000413091,0.00006305347,0.0005833679,0.0005792499,6.93867e-7,5.080911e-7,3.79387e-7,0.0004709006],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9450668,"threshold_uncertainty_score":0.349483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03532047550061853,"score_gpt":0.2617818726044972,"score_spread":0.2264613971038787,"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."}}