{"id":"W1560744624","doi":"10.1007/978-3-642-13078-6_5","title":"Fixed-Parameter Algorithm for General Pedigrees with a Single Pair of Sites","year":2010,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Advanced Graph Theory Research","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Pedigree chart; Computer science; Algorithm; Recombination; Enhanced Data Rates for GSM Evolution; Combinatorics; Mathematics; Artificial intelligence; Genetics; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008956394,0.0005561635,0.000674222,0.0009742255,0.0002344616,0.0003110009,0.003730666,0.0003491557,0.00001319177],"category_scores_gemma":[0.0001667426,0.0004404508,0.0001898155,0.000692861,0.001902188,0.0006600781,0.001093537,0.0009079028,0.000006024814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001120169,"about_ca_system_score_gemma":0.0004416426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007170179,"about_ca_topic_score_gemma":0.0001098456,"domain_scores_codex":[0.9958653,0.00003797201,0.0004930997,0.00157832,0.001154924,0.0008703506],"domain_scores_gemma":[0.9955966,0.001528947,0.0003588312,0.001660408,0.0006502994,0.0002048442],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000251174,0.0000790913,0.0001353427,0.00006673532,0.00002588155,0.00004328172,0.0004634928,0.002791651,0.005854964,0.01302722,0.00001010531,0.9774771],"study_design_scores_gemma":[0.0006541522,0.001656996,0.00006446466,0.0002740341,0.00001431861,0.0001155705,2.416042e-7,0.4948785,0.06502911,0.4348924,0.001486824,0.0009333559],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001011578,0.0002253239,0.996778,0.000255806,0.0005492747,0.0007482315,0.00002469127,0.0001163081,0.000290844],"genre_scores_gemma":[0.01012844,0.000006767508,0.9886165,0.0003107458,0.0003711252,0.00003239195,0.000008227375,0.00004925127,0.0004765583],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9765438,"threshold_uncertainty_score":0.9998047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0243380787970699,"score_gpt":0.274277897785305,"score_spread":0.2499398189882351,"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."}}