{"id":"W2891635853","doi":"10.5539/jas.v10n10p527","title":"Agronomic Components of Brown Linseed as a Function of Spacing","year":2018,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Soil Management and Crop Yield","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Latosol; Randomized block design; Dry matter; Mathematics; Straw; Yield (engineering); Agronomy; Crop; Horticulture; Environmental science; Biology; Soil water; Physics; Soil science; Statistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001124245,0.0001761012,0.0001793586,0.0001834635,0.0001469313,0.0002101771,0.00009078794,0.0001434942,0.0007193623],"category_scores_gemma":[0.0002672253,0.00009162636,0.0001244151,0.0001071246,0.0001605137,0.0001160891,0.0001473304,0.0002676106,0.000118646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002566639,"about_ca_system_score_gemma":0.0001524542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001178624,"about_ca_topic_score_gemma":0.002477918,"domain_scores_codex":[0.9999186,0.00001485739,0.000005696963,0.00002801332,0.00001641673,0.00001632076],"domain_scores_gemma":[0.9996402,0.00005991343,0.000107274,0.00002254265,0.00005132688,0.0001187315],"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":[0.001631747,0.00007834382,0.01038065,0.00002644972,0.00001191902,0.0001010517,0.00009590822,0.00005520224,0.986192,0.00001343459,0.00001850605,0.001394767],"study_design_scores_gemma":[0.0000512848,0.006444489,0.7375806,0.00001220551,0.00006612688,0.0004743048,0.0008081099,0.0007788727,0.2522035,0.0001095674,0.00144707,0.00002389404],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996043,0.0001093906,0.00007776599,0.000006760728,0.000002073785,0.000003800763,0.00003555168,0.000004496801,0.0001559458],"genre_scores_gemma":[0.9990131,0.00007060887,0.0001871287,0.00002312291,0.000002104795,0.000007843701,0.00009221243,0.000005083358,0.0005987224],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001178624,"threshold_uncertainty_score":0.002406538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02032149175989805,"score_gpt":0.2143377802850789,"score_spread":0.1940162885251808,"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."}}