{"id":"W4213393511","doi":"10.21775/cimb.011.0i1","title":"A High-Resolution Melting Approach for Analyzing Allelic Expression Dynamics","year":2009,"lang":"en","type":"article","venue":"Current Issues in Molecular Biology","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada","keywords":"Dynamics (music); Expression (computer science); Allele; Statistical physics; Computer science; Evolutionary biology; Computational biology; Biology; Genetics; Physics; Gene","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":[0.0002392688,0.0001369362,0.0002162728,0.0001392511,0.0001623986,0.00005752953,0.0001504445,0.00006829955,0.00003908161],"category_scores_gemma":[0.00006198397,0.0001221136,0.000079344,0.00004483664,0.00008850207,0.00006170087,0.00004074921,0.0001359962,0.000003511272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006215595,"about_ca_system_score_gemma":0.0000120216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006607308,"about_ca_topic_score_gemma":0.0001976969,"domain_scores_codex":[0.9990203,0.0001127229,0.0002530853,0.0002834563,0.00005947622,0.0002709208],"domain_scores_gemma":[0.9996365,0.00001961373,0.00008868797,0.0001474658,0.00007423082,0.00003344404],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003842123,0.0003488239,0.0007876052,0.00006714038,0.00002046266,0.000002528459,0.00228605,0.0004910747,0.0233709,0.9437889,0.0005056579,0.02829239],"study_design_scores_gemma":[0.00598768,0.002139319,0.002080406,0.0005586967,0.0002090743,0.000005907042,0.002762928,0.2301125,0.02903051,0.4193603,0.3048772,0.002875511],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7367787,0.009446548,0.2471338,0.0009039615,0.001558324,0.001049999,0.00008918477,0.0001234499,0.002915988],"genre_scores_gemma":[0.9958352,0.0001020412,0.003196674,0.00005691551,0.0002784601,0.00003432754,0.0003695068,0.000009656873,0.0001172096],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5244287,"threshold_uncertainty_score":0.4979648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03184094599464012,"score_gpt":0.3209723198426345,"score_spread":0.2891313738479944,"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."}}