{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002035081,0.0002917662,0.0002870122,0.0009489395,0.0002983246,0.0002469737,0.0002835204,0.0002359612,0.0003862436],"category_scores_gemma":[0.0002234878,0.0002486387,0.0004295277,0.0006480218,0.0001767465,0.00008189488,0.0002822455,0.0004083811,0.0001507381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009799219,"about_ca_system_score_gemma":0.0005625302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02715361,"about_ca_topic_score_gemma":0.05841487,"domain_scores_codex":[0.9998228,0.00001913401,0.00001728193,0.00008416035,0.00003513337,0.00002152996],"domain_scores_gemma":[0.9996765,0.00007314792,0.00007541966,0.0000303041,0.00006856699,0.00007613191],"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":[0.000132731,0.00002102089,0.006190413,0.00002016822,0.00003096254,0.000105061,0.0000651923,0.0001361231,0.9922133,0.00002024411,0.00001424481,0.00105052],"study_design_scores_gemma":[0.00003062943,0.0002894952,0.8991568,0.00001039201,0.0001075037,0.0005982558,0.0002343219,0.001239049,0.09666713,0.00003336889,0.001602578,0.0000304321],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977936,0.0001719896,0.0007106444,0.00001254746,0.000002885124,0.00003178894,0.0009441077,0.00001585824,0.0003165977],"genre_scores_gemma":[0.991092,0.0002732706,0.003780966,0.000060347,0.000001962173,0.00005648892,0.002825296,0.00003280847,0.001876758],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02715361,"threshold_uncertainty_score":0.05399114,"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."}}