{"id":"W3200427619","doi":"10.3390/genes12091410","title":"Advances in Gene Editing of Haploid Tissues in Crops","year":2021,"lang":"en","type":"review","venue":"Genes","topic":"Chromosomal and Genetic Variations","field":"Agricultural and Biological Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Biology; Ploidy; Doubled haploidy; Genome editing; Quantitative trait locus; Genetics; Gene; Biotechnology; Selection (genetic algorithm); Marker-assisted selection; Chromosome; Abiotic stress; Genome","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001125448,0.0001525336,0.00069549,0.00002383798,0.00003152381,0.00001646294,0.0001852961,0.0001307621,0.0002590079],"category_scores_gemma":[0.00004316057,0.00005874421,0.0001431904,0.0005441435,0.00002445816,0.00004467471,0.00008496716,0.00008908731,0.00001072635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001754734,"about_ca_system_score_gemma":0.00002386564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002312695,"about_ca_topic_score_gemma":0.004612504,"domain_scores_codex":[0.9989212,0.0001008285,0.0004294539,0.0002628118,0.0001127219,0.0001730252],"domain_scores_gemma":[0.9995934,0.000140522,0.0001587279,0.00004844707,0.00003124046,0.00002761775],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[2.564877e-7,0.00003265085,0.0003966198,0.0004019803,0.000003479159,0.00000792596,0.00002043123,0.000003610231,0.0002387616,0.00003457605,0.000005157041,0.9988546],"study_design_scores_gemma":[0.00003124821,0.00002678762,0.0006649361,0.002302776,0.00002069996,0.000008736973,0.00006117076,0.000001231769,0.0001615755,0.0001023784,0.9964817,0.0001367951],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.003095898,0.9961374,2.687092e-7,0.00004168951,0.0001759305,0.0001602952,0.00006886027,0.000008524454,0.0003111078],"genre_scores_gemma":[0.000318207,0.9987144,0.0001830922,0.000005795316,0.0004700279,0.00003776854,0.0001835109,0.000001061921,0.00008613362],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9987178,"threshold_uncertainty_score":0.2835955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04077931171281858,"score_gpt":0.3016901527088789,"score_spread":0.2609108409960603,"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."}}