{"id":"W1997209720","doi":"10.1007/s12230-015-9455-7","title":"Review of Potato Molecular Markers to Enhance Trait Selection","year":2015,"lang":"en","type":"article","venue":"American Journal of Potato Research","topic":"Plant Pathogens and Resistance","field":"Agricultural and Biological Sciences","cited_by":84,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Biology; Trait; Solanum tuberosum; Marker-assisted selection; Plant disease resistance; Biotechnology; Selection (genetic algorithm); Abiotic component; Quantitative trait locus; Cultivar; Molecular breeding; Genetic marker; Molecular marker; Abiotic stress; Gene; Genetics; Agronomy; Ecology","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":[0.00251868,0.00008860472,0.0003299953,0.00005866375,0.0000585821,0.00001983292,0.0003668281,0.00002297036,0.0000716771],"category_scores_gemma":[0.0005410495,0.0000352941,0.0001255662,0.001466777,0.0001565083,0.00006884055,0.00004342571,0.000260267,0.00001196471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005920704,"about_ca_system_score_gemma":0.00009510305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002360544,"about_ca_topic_score_gemma":0.00008133703,"domain_scores_codex":[0.997835,0.0004987559,0.0003859817,0.0001580125,0.000796461,0.0003257642],"domain_scores_gemma":[0.9981387,0.0001962252,0.0002531767,0.00005037195,0.0009864026,0.0003751623],"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":[0.0002889687,0.00008171082,0.0005491389,0.0001030258,0.0000325456,0.00006730027,0.00005710986,0.000009035509,0.7359728,0.00003416522,0.0168163,0.2459879],"study_design_scores_gemma":[0.0007277402,0.02852554,0.1096997,0.0178624,0.0001229817,0.001643879,0.008831176,0.00006265214,0.2052261,0.001007144,0.6250517,0.001238995],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9882885,0.007221162,0.00004688143,0.003526114,0.00004003626,0.0001488471,0.00003247035,0.000004640944,0.0006913141],"genre_scores_gemma":[0.9935906,0.004405904,0.001160131,0.0005988532,0.0001004052,0.000004882654,0.000003918056,0.000001641622,0.0001336924],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6082354,"threshold_uncertainty_score":0.1439251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03785450846359702,"score_gpt":0.3433409332833362,"score_spread":0.3054864248197392,"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."}}