{"id":"W4407224399","doi":"10.22541/au.173884756.63705171/v1","title":"Genome architecture and speciation in plants and animals","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Plant Reproductive Biology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Genetic algorithm; Genome; Architecture; Biology; Evolutionary biology; Computational biology; Genetics; Geography; Gene; Archaeology","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":[0.0003451268,0.0003540293,0.0005119801,0.0008058359,0.0003445933,0.001112281,0.0003068481,0.0008516074,0.002497804],"category_scores_gemma":[0.0007685591,0.0001470645,0.0003525132,0.00112279,0.0006047596,0.001005023,0.000671075,0.0007211844,0.000979088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000456422,"about_ca_system_score_gemma":0.0004616547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006311213,"about_ca_topic_score_gemma":0.00059703,"domain_scores_codex":[0.9998173,0.00003938187,0.00001444324,0.00005585098,0.00004996371,0.00002315728],"domain_scores_gemma":[0.9998521,0.00006470469,0.00002825235,0.00001354588,0.00002386797,0.00001754299],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003044893,0.00003201685,0.008807244,0.01212335,0.0004969683,0.002241481,0.002893453,0.005212593,0.09315999,0.1585102,0.04030627,0.6759121],"study_design_scores_gemma":[0.00001091253,0.000144318,0.02592888,0.001032342,0.000122146,0.002838518,0.0006798097,0.0004857809,0.006392305,0.06520179,0.8970999,0.00006327663],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.04556295,0.8950795,0.0173783,0.008549199,0.00286081,0.00002833886,0.001215008,0.0003919509,0.02893388],"genre_scores_gemma":[0.2206411,0.73677,0.01538306,0.003621364,0.002935955,0.00005371326,0.003176637,0.0002465817,0.01717155],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002497804,"threshold_uncertainty_score":0.008355975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008759847326845285,"score_gpt":0.24207047604117,"score_spread":0.2333106287143247,"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."}}