{"id":"W2284744589","doi":"10.17707/agricultforest.61.3.02","title":"IMPACT OF SILICON DIOXIDE NANOPARTICLES ON SEEDLING EARLY GROWTH OF LENTIL (LENS CULINARIS MEDIK.) GENOTYPES WITH VARIOUS ORIGINS","year":2015,"lang":"en","type":"article","venue":"The Journal Agriculture and Forestry","topic":"Silicon Effects in Agriculture","field":"Agricultural and Biological Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agriculture and Agri-Food Canada","keywords":"Seedling; Silicon dioxide; Lens (geology); Biology; Botany; Horticulture; Materials science; Composite material","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":[0.00009230452,0.0002775627,0.0002410569,0.0001741029,0.0001503885,0.0002971607,0.0001265745,0.0001865823,0.0006804444],"category_scores_gemma":[0.0001298799,0.0001161251,0.0001864484,0.00008276523,0.0001268079,0.0001477836,0.0002019688,0.0003613383,0.0001059177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003296206,"about_ca_system_score_gemma":0.0001654056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002545311,"about_ca_topic_score_gemma":0.005011528,"domain_scores_codex":[0.99991,0.00001436651,0.00001039519,0.00002443626,0.00002451894,0.00001631458],"domain_scores_gemma":[0.9998168,0.00004160874,0.00005435535,0.00001048431,0.00002905013,0.00004761575],"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":[0.00007453412,0.00001759733,0.0005461816,0.00002237129,0.00000449834,0.00002767186,0.00001674342,0.00002919361,0.9987686,0.000009888005,0.00000923151,0.0004733886],"study_design_scores_gemma":[0.00001336293,0.001130271,0.05427168,0.00000824849,0.00004163841,0.000127638,0.0001573395,0.0009099415,0.9419324,0.00003791419,0.001354034,0.00001545197],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989129,0.0002839321,0.0002434353,0.00002455641,0.000006329582,0.000008375886,0.0001364938,0.00001825549,0.0003657279],"genre_scores_gemma":[0.9973429,0.0001671938,0.000498219,0.00003094489,0.000001606879,0.00001560797,0.0002179438,0.00001585161,0.001709663],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002545311,"threshold_uncertainty_score":0.005060971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01425217966644243,"score_gpt":0.2220930743661056,"score_spread":0.2078408946996632,"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."}}