{"id":"W2127234426","doi":"10.1109/iccabs.2011.5729939","title":"Invited: Fast and theoretically strong algorithms for kinship discovery","year":2011,"lang":"en","type":"article","venue":"","topic":"Genome Rearrangement Algorithms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Probabilistic logic; Simple (philosophy); Kinship; Inheritance (genetic algorithm); Inference; Population; Domain (mathematical analysis); Theoretical computer science; Task (project management); Algorithm; Mathematics; Artificial intelligence; Biology","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":[0.00419153,0.002550139,0.001788339,0.001630682,0.002052571,0.003383586,0.002948503,0.003594778,0.03303902],"category_scores_gemma":[0.01850772,0.0009469209,0.001426141,0.002771962,0.001971338,0.006307358,0.002956494,0.005858025,0.02056248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001731918,"about_ca_system_score_gemma":0.001518944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001418729,"about_ca_topic_score_gemma":0.001751266,"domain_scores_codex":[0.9975899,0.0008555706,0.0001091933,0.0005314138,0.0006736008,0.0002403239],"domain_scores_gemma":[0.988794,0.008024625,0.0001789792,0.001007522,0.001516648,0.0004782787],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0006113628,0.0002338629,0.0006074393,0.000729076,0.0001747593,0.0001717199,0.0001764356,0.04397933,0.002768914,0.1310575,0.4294362,0.3900534],"study_design_scores_gemma":[0.0003348058,0.0001505074,0.0005578322,0.0001722742,0.0000680061,0.00029692,0.00009225335,0.2611433,0.003269685,0.5043992,0.2293897,0.0001255152],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004198667,0.006994372,0.9214312,0.02285797,0.006719565,0.0002475271,0.0008347566,0.005447996,0.03126778],"genre_scores_gemma":[0.1267591,0.008774746,0.7488902,0.01015897,0.01609459,0.001005964,0.005131709,0.00484478,0.07834008],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03303902,"threshold_uncertainty_score":0.1105265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03405946729272449,"score_gpt":0.2524882149054544,"score_spread":0.2184287476127299,"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."}}