{"id":"W1505843021","doi":"10.1186/1471-2105-16-s5-s7","title":"Isomorphism and similarity for 2-generation pedigrees","year":2015,"lang":"en","type":"article","venue":"BMC Bioinformatics","topic":"Machine Learning and Algorithms","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"China Postdoctoral Science Foundation; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; National Science Foundation","keywords":"Pedigree chart; Isomorphism (crystallography); Combinatorics; Partition (number theory); Integer (computer science); Mathematics; Computer science; Property (philosophy); Time complexity; Theoretical computer science; Biology; Genetics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005660244,0.0006068696,0.001821743,0.002253234,0.001191772,0.002110193,0.002708151,0.002164947,0.003593107],"category_scores_gemma":[0.03599507,0.0006205098,0.001406211,0.003216649,0.002539376,0.00748742,0.002693808,0.002492605,0.0004116746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001609111,"about_ca_system_score_gemma":0.001076522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001581866,"about_ca_topic_score_gemma":0.001368393,"domain_scores_codex":[0.9947516,0.002433246,0.0002357539,0.001534616,0.0006822234,0.000362599],"domain_scores_gemma":[0.960825,0.03234454,0.002155832,0.00314268,0.0008333581,0.0006984489],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006184895,0.0006173525,0.0214661,0.0006697098,0.0003268646,0.001394412,0.001708029,0.3093756,0.003068849,0.4509977,0.009294573,0.2004624],"study_design_scores_gemma":[0.00005539383,0.00009396335,0.002292871,0.00003032999,0.00003921999,0.0005636403,0.0001892694,0.2825599,0.00100696,0.7103043,0.002834156,0.0000299612],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2479175,0.00099619,0.7432004,0.002349107,0.00006045466,0.0001323545,0.001136066,0.0004159258,0.003791954],"genre_scores_gemma":[0.7432407,0.0006227567,0.2498224,0.0004665681,0.0002236058,0.0001843343,0.002975011,0.000132423,0.00233229],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005660244,"threshold_uncertainty_score":0.02993464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09091666958478403,"score_gpt":0.2843398320754851,"score_spread":0.193423162490701,"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."}}