{"id":"W2919920622","doi":"","title":"Genetic analysis of carotenoid biosynthesis in chickpea (Cicer arietinum L.) seeds","year":2018,"lang":"en","type":"dissertation","venue":"","topic":"Phytase and its Applications","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Carotenoid; Biosynthesis; Biology; Horticulture; Null (SQL); Botany; Biotechnology; Gene; Genetics; Computer science; Data mining","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009459,0.0001637813,0.0003813558,0.00009846095,0.00006223227,0.00002096695,0.0002724155,0.0003283539,0.002816454],"category_scores_gemma":[0.00001907543,0.00006127945,0.0002250645,0.001811491,0.00003169928,0.00002974853,0.0000179212,0.0001243976,0.00004474043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000148943,"about_ca_system_score_gemma":0.00001286546,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003197922,"about_ca_topic_score_gemma":0.05812188,"domain_scores_codex":[0.9989331,0.00003268949,0.0003502307,0.0003286611,0.0001786409,0.0001766285],"domain_scores_gemma":[0.999479,0.00007410863,0.0001859552,0.0001048908,0.0001054031,0.00005065076],"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":[0.00008535114,0.0005509412,0.03421676,0.00005994145,0.001207442,0.000001917929,0.0008433742,0.00001380723,0.8429167,0.0003691907,0.002646652,0.1170879],"study_design_scores_gemma":[0.00002591126,0.00005006223,0.9757683,0.00001831959,0.0005268459,1.107445e-7,0.0006250367,0.00009192935,0.01716759,0.0001667643,0.005361894,0.0001972347],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9817043,0.0001590959,0.000001255877,0.0001055865,0.0000425482,0.0001769296,0.0001713945,0.00002045678,0.01761846],"genre_scores_gemma":[0.9951033,0.0001325315,0.0001310053,0.00006465415,0.0001115653,0.00004115813,0.001634434,0.000001188301,0.002780146],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9415516,"threshold_uncertainty_score":0.9980951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01034224255941736,"score_gpt":0.2289096147863736,"score_spread":0.2185673722269562,"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."}}