{"id":"W7134041068","doi":"10.5281/zenodo.18885583","title":"Secure, standardized, and accessible accession passport data made available through Genesys by BOLD","year":2025,"lang":"","type":"article","venue":"Open MIND","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Accession; Work (physics); Field (mathematics); Confidentiality; Population","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":[0.004289428,0.00204143,0.002707135,0.006598777,0.002439287,0.005042629,0.003396908,0.002119063,0.2651811],"category_scores_gemma":[0.01559318,0.002060493,0.0009029171,0.01171936,0.001337764,0.005524714,0.004402412,0.003751384,0.3548775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001896497,"about_ca_system_score_gemma":0.004712889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005986672,"about_ca_topic_score_gemma":0.005166988,"domain_scores_codex":[0.997169,0.0004129797,0.000528465,0.0006962831,0.000823666,0.0003695703],"domain_scores_gemma":[0.9898379,0.002253775,0.001161954,0.003400673,0.002256858,0.001088901],"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":[0.0006955944,0.0000632139,0.000616976,0.0007534841,0.00002705615,0.0001341637,0.0002542908,0.0001234764,0.007448773,0.005421212,0.9697945,0.01466718],"study_design_scores_gemma":[0.0001133141,0.00003579781,0.00194796,0.0002273604,0.00003480041,0.0001387357,0.0001561891,0.0002481928,0.005932087,0.007523451,0.983578,0.00006414781],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.001706759,0.0003473942,0.01043981,0.001427161,0.0009943529,0.0001636194,0.9248934,0.03929774,0.02072986],"genre_scores_gemma":[0.003832691,0.000444942,0.01068668,0.0005181603,0.0001725287,0.00039014,0.9513707,0.01385423,0.01872991],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2651811,"threshold_uncertainty_score":0.8871191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06246520635060566,"score_gpt":0.3829056023315526,"score_spread":0.320440395980947,"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."}}