{"id":"W4416748299","doi":"10.1101/2025.11.24.690262","title":"A unified transcriptome dataset for Amaryllidoideae species","year":2025,"lang":"","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Chemical synthesis and alkaloids","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Alliance de recherche numérique du Canada; Canada Research Chairs","keywords":"Transcriptome; Workflow; Identification (biology); Annotation; Genome; Drug discovery; De novo transcriptome assembly","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":[0.001496083,0.001464418,0.001572205,0.004393811,0.001479145,0.001806172,0.001416934,0.001495032,0.005836581],"category_scores_gemma":[0.002402032,0.0006767336,0.001686065,0.006142236,0.0004711297,0.001144267,0.002524003,0.001653467,0.006459244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009584534,"about_ca_system_score_gemma":0.001959853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003047886,"about_ca_topic_score_gemma":0.004560439,"domain_scores_codex":[0.9984652,0.0001581959,0.0002435732,0.0006366468,0.000337614,0.000158904],"domain_scores_gemma":[0.9985186,0.0003055108,0.0002351414,0.0003834676,0.0003729926,0.0001843013],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003219372,0.000612594,0.03563004,0.01349605,0.001106253,0.001918204,0.001446374,0.0134458,0.4789485,0.009371436,0.3306382,0.1101671],"study_design_scores_gemma":[0.0005591421,0.0003539695,0.0725699,0.0006853827,0.0004872445,0.0009931017,0.0005537086,0.01062283,0.03676357,0.006274206,0.8699151,0.0002218611],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.02026436,0.001045226,0.006978395,0.0001018794,0.0000746723,0.0001475824,0.9656996,0.003429695,0.002258635],"genre_scores_gemma":[0.004970146,0.0002399305,0.008358431,0.00003989269,0.000008479271,0.000246993,0.9857713,0.0001615304,0.0002032188],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.005836581,"threshold_uncertainty_score":0.01952529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02083189145458677,"score_gpt":0.2328388248817846,"score_spread":0.2120069334271979,"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."}}