{"id":"W2608654376","doi":"10.24918/cs.2015.13","title":"Teaching Genetic Linkage and Recombination through Mapping with Molecular Markers","year":2015,"lang":"en","type":"article","venue":"CourseSource","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Genetics; Genetic linkage; Linkage (software); Biology; Context (archaeology); Computational biology; Gene","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":[0.001195523,0.001478522,0.000634305,0.0005700075,0.0008223939,0.001983647,0.002432271,0.001791704,0.030442],"category_scores_gemma":[0.003745273,0.0003211097,0.0008375891,0.0004160267,0.001053731,0.002347071,0.002788949,0.002928799,0.008021827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001391288,"about_ca_system_score_gemma":0.001781086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008552998,"about_ca_topic_score_gemma":0.001667642,"domain_scores_codex":[0.9990218,0.0002418069,0.00004124518,0.000244491,0.0002816393,0.0001690414],"domain_scores_gemma":[0.9981161,0.0006482513,0.0001944645,0.0001734848,0.0002654714,0.000602228],"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":[0.0004266458,0.0064532,0.0077565,0.002297113,0.00006027193,0.001571643,0.01058826,0.01054692,0.05928288,0.08970048,0.2648495,0.5464666],"study_design_scores_gemma":[0.0002025118,0.001320285,0.009260233,0.0009228987,0.0000483935,0.002281733,0.002922845,0.01164925,0.03106321,0.1188502,0.8213773,0.0001011445],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1409831,0.002959402,0.5837269,0.02408464,0.002617168,0.001795285,0.001540385,0.009434085,0.232859],"genre_scores_gemma":[0.2548018,0.003686712,0.5925665,0.008416214,0.0007037448,0.001732509,0.002009526,0.001244244,0.1348387],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.030442,"threshold_uncertainty_score":0.1018386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01857641446955537,"score_gpt":0.2713087884304612,"score_spread":0.2527323739609058,"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."}}