{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002512437,0.0008113891,0.001349168,0.002234015,0.0002000587,0.001046609,0.001358496,0.0010475,0.002571138],"category_scores_gemma":[0.003357143,0.0004098518,0.0005638108,0.002301313,0.0004714343,0.001104628,0.0005544062,0.001499409,0.001349279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000521302,"about_ca_system_score_gemma":0.0007519241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006950242,"about_ca_topic_score_gemma":0.001188698,"domain_scores_codex":[0.9994399,0.0001427273,0.00008605313,0.0001787992,0.0001272872,0.00002533325],"domain_scores_gemma":[0.9966297,0.002012081,0.0004173823,0.0001228574,0.0006895029,0.0001284385],"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":[0.0002055862,0.00008506919,0.0004664291,0.0156493,0.0002804304,0.0001787358,0.00005203028,0.0003556147,0.009753772,0.002278279,0.02198058,0.9487143],"study_design_scores_gemma":[0.00006222706,0.00035615,0.003633117,0.00449377,0.0007955593,0.001040976,0.00005892118,0.0002573903,0.005034301,0.002149391,0.9820532,0.00006493822],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0005683346,0.9945703,0.00195136,0.0009680479,0.000817794,0.00001343925,0.00007051919,0.00002647293,0.001013742],"genre_scores_gemma":[0.004231201,0.9866838,0.004872818,0.001877751,0.0009251818,0.00002809413,0.0001875545,0.00001813973,0.001175438],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002571138,"threshold_uncertainty_score":0.01328719,"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."}}