{"id":"W2966647898","doi":"10.5539/jas.v11n14p23","title":"Adaptability and Stability in Maize Populations","year":2019,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Adaptability; Latosol; Population; Agronomy; Crop; Stability (learning theory); Environmental science; Biology; Ecology; Computer science; Soil water","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":[0.0008947375,0.0002331067,0.0002541906,0.00102946,0.0003134637,0.0005123473,0.0001886834,0.0001931638,0.0003888167],"category_scores_gemma":[0.001920558,0.0001263657,0.000434465,0.0005565634,0.0002689978,0.000297626,0.0004573774,0.0002196608,0.00007303715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000421461,"about_ca_system_score_gemma":0.0001809699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001747488,"about_ca_topic_score_gemma":0.002361061,"domain_scores_codex":[0.9992133,0.0001923336,0.0000705977,0.0003255075,0.0001385575,0.0000596299],"domain_scores_gemma":[0.9990626,0.0003126806,0.0002769872,0.0001156841,0.0001649429,0.0000670818],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001296185,0.0001250344,0.694948,0.00007987396,0.0003960983,0.0002728116,0.001704163,0.00601433,0.2539487,0.0006194044,0.0001022565,0.04049316],"study_design_scores_gemma":[0.00001401382,0.0005613841,0.9721923,0.000009303766,0.0001156839,0.0003555778,0.0004579992,0.01058133,0.01449455,0.0005868881,0.0005916852,0.00003933514],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997685,0.00006607557,0.001886372,0.000005832998,0.000001330931,0.000009519562,0.0001206828,0.000008989675,0.0002163052],"genre_scores_gemma":[0.9977885,0.0000291604,0.001757499,0.000004074819,0.000001998364,0.00002148071,0.0002256546,0.000005212071,0.0001662897],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001747488,"threshold_uncertainty_score":0.004731894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04767874168213777,"score_gpt":0.2261090768666885,"score_spread":0.1784303351845507,"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."}}