{"id":"W3215377535","doi":"10.5376/pgt.2020.11.0008","title":"Advances and the Application Value of Plant Copper Transporters","year":2020,"lang":"en","type":"article","venue":"Plant Gene and Trait","topic":"Plant Micronutrient Interactions and Effects","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Harbin Science and Technology Bureau","keywords":"Compartmentalization (fire protection); Copper; Agrochemical; Transporter; Agriculture; Genetically modified crops; Biology; Crop; Phloem; Biotechnology; Transgene; Chemistry; Agronomy; Biochemistry; Gene; Botany; Ecology; Enzyme","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005275914,0.00005331723,0.00009871933,0.000002772881,0.00006532912,0.00001032816,0.00004598116,0.00002056199,0.000008272255],"category_scores_gemma":[0.000002705982,0.00001648272,0.00002328121,0.00004558911,0.00004583937,0.00004331351,0.000006428455,0.00003742403,0.000001186441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":9.187892e-7,"about_ca_system_score_gemma":0.000001295067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006941234,"about_ca_topic_score_gemma":0.00005048781,"domain_scores_codex":[0.9996729,0.00001649387,0.00008770897,0.0001085198,0.00004668656,0.00006765526],"domain_scores_gemma":[0.9997783,0.0001287698,0.00003676266,0.0000122344,0.000005189246,0.00003877325],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009006075,0.0000570677,0.003817062,0.00007982392,0.00004197611,0.000006176947,0.0009385973,0.00002065744,0.8874322,0.002932952,0.001001138,0.1027718],"study_design_scores_gemma":[0.002970511,0.0009144143,0.1125515,0.000112692,0.0002114266,0.0003273732,0.001408333,0.006506957,0.1037026,0.0009688311,0.7697581,0.0005671825],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960697,0.0009659221,0.00003286178,0.001665666,0.00001849924,0.0001460153,0.0009013549,0.00001052667,0.0001894076],"genre_scores_gemma":[0.9977161,0.001643123,0.0000251002,0.0003247297,0.00004444761,0.000008551204,0.0002337109,2.69918e-7,0.000003923107],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7837295,"threshold_uncertainty_score":0.06721458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00942271653040506,"score_gpt":0.181163697860042,"score_spread":0.1717409813296369,"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."}}