{"id":"W4396232166","doi":"10.3390/a17050186","title":"Synesth: Comprehensive Syntenic Reconciliation with Unsampled Lineages","year":2024,"lang":"en","type":"article","venue":"Algorithms","topic":"Color perception and design","field":"Psychology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Synteny; Computer science; Biology; Genetics; Genome; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003284512,0.001088322,0.001152512,0.001815015,0.001166383,0.001818404,0.002594676,0.001396541,0.007783327],"category_scores_gemma":[0.01176506,0.0007835258,0.001914888,0.0014755,0.001262121,0.002767109,0.003840564,0.001885643,0.001289329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008090116,"about_ca_system_score_gemma":0.001467264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008928381,"about_ca_topic_score_gemma":0.002305565,"domain_scores_codex":[0.9985957,0.0004748535,0.00009295531,0.0003450565,0.0003709047,0.0001204911],"domain_scores_gemma":[0.9959978,0.002412858,0.0002536035,0.0009780452,0.0002569421,0.0001007243],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005482865,0.000195939,0.006152678,0.0006481993,0.0004294086,0.000520592,0.0009984253,0.4129469,0.01352798,0.1422785,0.01168839,0.4100647],"study_design_scores_gemma":[0.0001004727,0.0001087435,0.0008191029,0.00007177336,0.00006550775,0.000304229,0.0001636297,0.8379099,0.01067237,0.1357281,0.01400439,0.00005175699],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02159862,0.000151709,0.9705083,0.0001619201,0.00005551157,0.0001082742,0.0006461813,0.004458997,0.002310546],"genre_scores_gemma":[0.1459505,0.0001123891,0.8478482,0.0001547882,0.00003718503,0.0003089058,0.002349209,0.001509334,0.001729423],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007783327,"threshold_uncertainty_score":0.02603781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05817741703776378,"score_gpt":0.3456510886446673,"score_spread":0.2874736716069035,"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."}}