{"id":"W7165391491","doi":"10.70177/agriculturae.v2i6.2964","title":"CRISPR/CAS9-MEDIATED GENETIC ENGINEERING FOR DEVELOPING SALINITY-TOLERANT RICE VARIETIES FOR INDONESIAN COASTAL AGRICULTURE","year":2025,"lang":"","type":"article","venue":"Techno Agriculturae Studium of Research","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of Toronto; University of Alberta","funders":"","keywords":"Agriculture; Salinity; Soil salinity; Biomass (ecology); Greenhouse; Crop; Sustainable agriculture; Crop yield","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003216536,0.0004377476,0.0004114096,0.0003250334,0.0002181653,0.0004095969,0.0004079271,0.0003199461,0.0007811111],"category_scores_gemma":[0.0002227183,0.0002355963,0.0004119991,0.0002488697,0.00025772,0.0002577891,0.0004066597,0.000645769,0.0003412949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002851988,"about_ca_system_score_gemma":0.0004072682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008487089,"about_ca_topic_score_gemma":0.001708352,"domain_scores_codex":[0.9997571,0.0000253888,0.00005140618,0.00006716686,0.0000728557,0.00002616003],"domain_scores_gemma":[0.9998808,0.00001565071,0.00004443308,0.00001621755,0.00002201758,0.00002076656],"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":[0.00004700565,0.00002428646,0.0003274079,0.0001233741,0.000009279985,0.0001572194,0.00003740622,0.0004317642,0.9933879,0.0001921889,0.0001077565,0.005154296],"study_design_scores_gemma":[0.00003659629,0.0003855025,0.00869729,0.00006120092,0.00008787872,0.0009741538,0.0001208684,0.009464459,0.964883,0.0003282941,0.01490905,0.00005179127],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8895711,0.002129949,0.09742256,0.0003893326,0.0001827699,0.000406195,0.001576511,0.001498962,0.006822484],"genre_scores_gemma":[0.9136284,0.002332174,0.07649929,0.0001433417,0.00001650812,0.0002340283,0.001713235,0.0001851969,0.005247882],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008487089,"threshold_uncertainty_score":0.002613127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01868435436924454,"score_gpt":0.3617738376329508,"score_spread":0.3430894832637063,"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."}}