{"id":"W7108213549","doi":"10.25504/fairsharing.e1e2d1","title":"FAIRsharing record for: BioChem database","year":2025,"lang":"","type":"dataset","venue":"FAIRsharing.org","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Marine fisheries; Data collection; Research data; Data source","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","open_science","research_integrity","insufficient_payload"],"category_scores_codex":[0.00448028,0.00605459,0.005592746,0.00497445,0.002711297,0.001564949,0.01205721,0.004085774,0.006470189],"category_scores_gemma":[0.008232176,0.007453687,0.002917226,0.0052629,0.001000987,0.002478514,0.02086516,0.007119711,0.02215783],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003908596,"about_ca_system_score_gemma":0.003404234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003075505,"about_ca_topic_score_gemma":0.003526038,"domain_scores_codex":[0.9738095,0.0005878487,0.005828815,0.01011236,0.003016058,0.006645441],"domain_scores_gemma":[0.9744235,0.001951017,0.00415108,0.01543123,0.00186415,0.002178975],"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":[0.001889383,0.001719615,0.00467624,0.01174654,0.002581257,0.0003513854,0.0001697979,0.00001819159,0.004129597,0.0003505148,0.9709448,0.001422666],"study_design_scores_gemma":[0.006193749,0.0006471392,0.0005178888,0.0107009,0.004049621,0.00006218805,0.0005094819,0.0008389701,0.01096162,0.0001792714,0.9587567,0.006582435],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001821216,0.003301337,0.0006123255,0.0003547074,0.01029273,0.007859633,0.9714566,0.001550242,0.002751243],"genre_scores_gemma":[0.001721575,0.001567204,0.004058614,0.0007304634,0.004789261,0.003278068,0.9689091,0.001140693,0.01380498],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01568764,"threshold_uncertainty_score":0.9999152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05784035114619293,"score_gpt":0.3336562620587494,"score_spread":0.2758159109125564,"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."}}