{"id":"W4293064100","doi":"10.1093/nar/gkac657","title":"GAIA: G-quadruplexes in alive creature database","year":2022,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"DNA and Nucleic Acid Chemistry","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Transcriptome; Genome; Field (mathematics); Transcription (linguistics); Computational biology; Database; Genetics; Gene; Computer science","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":[0.0006282622,0.001919816,0.002392909,0.004114976,0.000881581,0.002676355,0.003047503,0.002218169,0.03163467],"category_scores_gemma":[0.00247731,0.000668067,0.001447909,0.004404719,0.0004087766,0.001871709,0.002387483,0.001621832,0.04582704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007324336,"about_ca_system_score_gemma":0.00193797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001735985,"about_ca_topic_score_gemma":0.002582757,"domain_scores_codex":[0.9996235,0.00003907002,0.00006941882,0.0001195783,0.00008662776,0.00006170128],"domain_scores_gemma":[0.9993893,0.0001285431,0.0001340763,0.0001278816,0.0001018257,0.0001183399],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00272433,0.0002078657,0.004699019,0.01366944,0.0003949317,0.001069081,0.0005456558,0.002019773,0.04895002,0.008882783,0.8359092,0.0809279],"study_design_scores_gemma":[0.0002708031,0.0001998415,0.004823906,0.0007073813,0.0002376422,0.001029533,0.0001760131,0.002918204,0.01125408,0.005632485,0.9726097,0.0001405049],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.009308441,0.004915937,0.01306057,0.0003535966,0.0002732238,0.0003148035,0.8991932,0.06066171,0.01191848],"genre_scores_gemma":[0.01216552,0.001977538,0.0220864,0.000380318,0.00003660363,0.0003841479,0.9578057,0.002409165,0.002754541],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03163467,"threshold_uncertainty_score":0.1058285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02887474323864649,"score_gpt":0.332859530105085,"score_spread":0.3039847868664385,"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."}}