{"id":"W1973618181","doi":"10.1385/mb:19:2:205","title":"Use of Radiation Hybrid Panels to Map Genetic Loci","year":2001,"lang":"en","type":"article","venue":"Molecular Biotechnology","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Canadian Institutes of Health Research; Alberta Heritage Foundation for Medical Research; Glaucoma Foundation","keywords":"Radiation hybrid mapping; Locus (genetics); Biology; Genetics; Gene mapping; Computational biology; Genome; Evolutionary biology; Gene; Chromosome","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00006156549,0.0001834618,0.0002077739,0.0001384316,0.00004597489,0.00001149326,0.0002547161,0.000239366,0.00001029817],"category_scores_gemma":[0.00009345243,0.0001956712,0.00009686937,0.0001664507,0.0001188778,6.612119e-7,0.0002489424,0.00007582414,0.00002518106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001339151,"about_ca_system_score_gemma":0.0000306839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005475974,"about_ca_topic_score_gemma":0.000009726361,"domain_scores_codex":[0.9988736,0.00003884802,0.0002607247,0.0004205319,0.00009756997,0.0003087629],"domain_scores_gemma":[0.9991605,0.000007056602,0.0000893438,0.0006075366,0.00006755768,0.00006805659],"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":[0.00003704783,0.00003826796,0.001391502,0.000007226688,0.00008042915,0.00003168493,0.00001546122,0.0007374563,0.9666049,0.0001661047,0.000759889,0.03012997],"study_design_scores_gemma":[0.000197843,0.0003711025,0.004534446,0.000003608854,0.00002074035,0.00005644919,0.00001531822,0.00004131111,0.8291692,0.0001835251,0.1652225,0.0001839419],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9723425,0.002002858,0.02387824,0.001295183,0.0001220726,0.0002747688,0.00002726974,0.00001343446,0.00004369015],"genre_scores_gemma":[0.9922673,0.001023949,0.005859907,0.0005866084,0.00005121731,0.00002741869,0.00002799524,0.00003071754,0.0001248956],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1644626,"threshold_uncertainty_score":0.7979239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01169473100102863,"score_gpt":0.2206890537894754,"score_spread":0.2089943227884468,"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."}}