{"id":"W7007699761","doi":"","title":"Algorithmes pour la rÃ©conciliation dâun arbre de gÃ¨nes avec un arbre dâespÃ¨ces","year":2010,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tree (set theory); Genetic inheritance; Random binary tree; Homogeneous","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009593597,0.001607519,0.001116761,0.001361298,0.001563013,0.002147386,0.002057044,0.001466896,0.01660341],"category_scores_gemma":[0.002240477,0.0008395355,0.00193788,0.001048451,0.001133044,0.002207542,0.00216757,0.001960899,0.005834116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001395379,"about_ca_system_score_gemma":0.001835062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005108531,"about_ca_topic_score_gemma":0.009723097,"domain_scores_codex":[0.9988426,0.0001620258,0.00009863398,0.0003614635,0.0003533266,0.0001820243],"domain_scores_gemma":[0.9989544,0.0003243685,0.0001142736,0.0002868289,0.0002671941,0.00005276232],"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":[0.0004479474,0.0002739214,0.001673163,0.0007118853,0.0002402263,0.0003825651,0.0005554088,0.1337412,0.04940744,0.06013774,0.01423962,0.7381888],"study_design_scores_gemma":[0.0001801526,0.0004280445,0.001361905,0.0001529282,0.0002309977,0.0007134289,0.000324764,0.8176997,0.05125514,0.06124902,0.06630686,0.00009704118],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02550296,0.0009578143,0.9492633,0.0004285976,0.0002163518,0.0003623757,0.0001704479,0.004484433,0.01861372],"genre_scores_gemma":[0.1608327,0.0006544596,0.8007577,0.0003779895,0.0001272425,0.0005008001,0.0009244022,0.0007068373,0.03511779],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01660341,"threshold_uncertainty_score":0.05554396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002124638926250868,"score_gpt":0.1409483586591269,"score_spread":0.138823719732876,"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."}}