{"id":"W4285220194","doi":"10.5376/mpr.2022.12.0002","title":"SNP Molecular Markers Development and Genetic Diversity Analysis of &lt;i&gt;Forsythia suspensa&lt;/i&gt; Based on SLAF-seq Technology","year":2022,"lang":"en","type":"article","venue":"Medicinal Plant Research","topic":"Phytochemistry and Biological Activities","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biology; Genetic diversity; Germplasm; SNP; Single-nucleotide polymorphism; Genetics; Botany; Genotype; Gene; Population; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008380001,0.0007963504,0.0009958119,0.001604743,0.0008178665,0.0009112105,0.0006242013,0.0004607557,0.001884063],"category_scores_gemma":[0.001076238,0.0003626755,0.001240073,0.001826785,0.000286208,0.0005245059,0.0005877343,0.001063528,0.001232563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006437129,"about_ca_system_score_gemma":0.001018219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00469849,"about_ca_topic_score_gemma":0.007956329,"domain_scores_codex":[0.9991587,0.00006791599,0.00008663323,0.0003449652,0.000258158,0.00008374164],"domain_scores_gemma":[0.9994977,0.00006654927,0.0001203326,0.00004960694,0.0002067516,0.00005905359],"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":[0.0002856269,0.0001098451,0.01403892,0.0003849546,0.0001446558,0.0002970821,0.0003884865,0.001600598,0.9284189,0.0005982696,0.001826732,0.05190596],"study_design_scores_gemma":[0.0002842105,0.0006695398,0.2421251,0.0001739645,0.001030449,0.001517014,0.0007175186,0.05033841,0.6235382,0.001965893,0.07737567,0.0002639863],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7415586,0.001792904,0.1900934,0.0005200889,0.0001974016,0.0008706314,0.05332446,0.003187922,0.008454672],"genre_scores_gemma":[0.6035465,0.001242285,0.3012923,0.0005736676,0.00007719726,0.001185116,0.08196978,0.0009794652,0.009133661],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00469849,"threshold_uncertainty_score":0.009342253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04353972399707534,"score_gpt":0.2628017068613518,"score_spread":0.2192619828642765,"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."}}