{"id":"W2095234746","doi":"10.1371/journal.pone.0059576","title":"A Series of TA-Based and Zero-Background Vectors for Plant Functional Genomics","year":2013,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Plant tissue culture and regeneration","field":"Biochemistry, Genetics and Molecular Biology","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Functional genomics; Biology; Computational biology; Cloning (programming); Multiple cloning site; Genetics; Gene; Genome; Plasmid; Gene targeting; Restriction enzyme; Transformation (genetics); Genomics; Vector (molecular biology); Computer science; Recombinant DNA","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":[0.001676484,0.002761247,0.002085831,0.003398061,0.001441215,0.001657918,0.00289726,0.00123517,0.006638521],"category_scores_gemma":[0.001311115,0.001706629,0.002472858,0.003498335,0.0007730599,0.001370385,0.001423789,0.005216613,0.009949538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001025655,"about_ca_system_score_gemma":0.001377477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001256705,"about_ca_topic_score_gemma":0.002097735,"domain_scores_codex":[0.9981127,0.0003424451,0.0002890837,0.0004299734,0.000670669,0.000155038],"domain_scores_gemma":[0.9992927,0.000119801,0.0001468397,0.0001992224,0.0001339053,0.0001074732],"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":[0.0002685988,0.0002351643,0.000211088,0.0008473195,0.00008985392,0.0001795815,0.000114822,0.0003325889,0.9450673,0.003179682,0.00496066,0.04451326],"study_design_scores_gemma":[0.0001575054,0.000639917,0.002560448,0.0001966329,0.0003613568,0.00232057,0.0000573374,0.004318684,0.7583183,0.001876764,0.2290179,0.0001747614],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03285437,0.007040614,0.9238153,0.0004187243,0.001034294,0.002992218,0.01328568,0.01030488,0.008253876],"genre_scores_gemma":[0.06160538,0.012872,0.7875996,0.000648525,0.0002100726,0.006845514,0.09261779,0.00415577,0.03344527],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006638521,"threshold_uncertainty_score":0.02220809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03972091270162496,"score_gpt":0.1992798664468554,"score_spread":0.1595589537452305,"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."}}