{"id":"W2615018139","doi":"","title":"ANCESTRAL MAXIMUM LIKELIHOOD OF EVOLUTIONARY TREES IS HARD","year":2004,"lang":"en","type":"article","venue":"","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland; McGill University","funders":"","keywords":"Computer science; Maximum likelihood; Evolutionary algorithm; Artificial intelligence; Statistics; Mathematics","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":[0.002998372,0.0007736149,0.001892801,0.0008071008,0.002311323,0.004883757,0.002450765,0.00319312,0.009250813],"category_scores_gemma":[0.02939562,0.001193976,0.00230953,0.00179165,0.003228963,0.0109694,0.004064312,0.006363664,0.001610419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00176457,"about_ca_system_score_gemma":0.001690332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001241759,"about_ca_topic_score_gemma":0.001297493,"domain_scores_codex":[0.9960546,0.001209256,0.0002257236,0.001242367,0.0008503021,0.0004176502],"domain_scores_gemma":[0.9568991,0.03871801,0.0009919392,0.001955634,0.0009148719,0.0005204916],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005380129,0.0002579039,0.005120612,0.001650106,0.0002182987,0.001483681,0.002424121,0.1270929,0.003110444,0.7006614,0.04128911,0.1161535],"study_design_scores_gemma":[0.00006294168,0.00001510715,0.0003637969,0.00005473742,0.00002548738,0.0004543277,0.0002498444,0.07461347,0.001127131,0.9143004,0.008713078,0.00001963163],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1805587,0.002824572,0.7182282,0.03262619,0.0003165456,0.0003362213,0.004951189,0.001762558,0.05839588],"genre_scores_gemma":[0.7809454,0.002368184,0.1884333,0.003821047,0.0009229437,0.0005130884,0.006244435,0.0006857205,0.01606592],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009250813,"threshold_uncertainty_score":0.03094709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.034698724138228,"score_gpt":0.2396621651976427,"score_spread":0.2049634410594147,"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."}}