{"id":"W3005449183","doi":"10.1002/9781119432401.ch4","title":"Biochemical and Molecular Markers: Unraveling Their Potential Role in Screening Germplasm for Thermotolerance","year":2020,"lang":"en","type":"other","venue":"","topic":"Plant Genetic and Mutation Studies","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Biology; Germplasm; Genetic diversity; Genetic marker; Computational biology; Genetics; Molecular marker; Gene; Identification (biology); Molecular genetics; Genome; Evolutionary biology; Ecology; Population","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":[0.001333804,0.0008656836,0.0009875087,0.001727631,0.0003508197,0.002465384,0.0006410519,0.001715444,0.002261609],"category_scores_gemma":[0.0009309545,0.0006624171,0.000634445,0.001757417,0.0009448698,0.002604501,0.0005530327,0.00261548,0.00178464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006158852,"about_ca_system_score_gemma":0.0007712094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004570473,"about_ca_topic_score_gemma":0.0007605267,"domain_scores_codex":[0.9995748,0.0001015947,0.00003387768,0.00008570354,0.00016909,0.00003490454],"domain_scores_gemma":[0.9994165,0.0002367411,0.0001245313,0.00004966331,0.0001202341,0.00005240956],"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":[0.0001213765,0.0001028516,0.002171978,0.002807045,0.00006070973,0.000286992,0.0002504648,0.0009208713,0.635916,0.02021828,0.002203768,0.3349397],"study_design_scores_gemma":[0.00002967215,0.000963017,0.01734803,0.001399006,0.0002946326,0.003041331,0.0005839311,0.004196579,0.4046155,0.03381663,0.5334879,0.0002236911],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"review","genre_gemma":"other","genre_scores_codex":[0.07467119,0.6608683,0.2309971,0.007600463,0.001191355,0.0003234597,0.001478871,0.001122728,0.02174646],"genre_scores_gemma":[0.1934518,0.4266129,0.3418661,0.002759404,0.0007466096,0.0003878492,0.001971223,0.0003134722,0.03189063],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.002465384,"threshold_uncertainty_score":0.007565856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01213062703560834,"score_gpt":0.2033090167740077,"score_spread":0.1911783897383993,"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."}}