{"id":"W4409225435","doi":"10.1016/j.slasd.2025.100228","title":"Empowering research in chemical biology and early drug discovery – an update from the European research infrastructure EU-OPENSCREEN","year":2025,"lang":"en","type":"review","venue":"SLAS DISCOVERY","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Faculty of Arts and Social Sciences, Carleton University; Burns Memorial Fund; Horizon 2020; Bundesministerium für Bildung und Forschung; European Commission","keywords":"Drug discovery; Computational biology; Political science; Data science; Biology; Computer science; Bioinformatics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004237131,0.001362234,0.001851396,0.003702,0.0004980547,0.002909088,0.001715456,0.002442374,0.004328139],"category_scores_gemma":[0.002326164,0.0005668203,0.0008810326,0.004275061,0.001314541,0.004463675,0.002267348,0.00570111,0.003832644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001823048,"about_ca_system_score_gemma":0.003132165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00130463,"about_ca_topic_score_gemma":0.002248219,"domain_scores_codex":[0.9990131,0.0001785351,0.0001114817,0.0001323641,0.0004110517,0.0001534151],"domain_scores_gemma":[0.9980791,0.00101333,0.0001465977,0.00005750548,0.0004678921,0.0002355536],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001001061,0.0001069996,0.0001014313,0.01423432,0.00009326231,0.0002463352,0.0001438437,0.0004976472,0.001707883,0.0249678,0.07110247,0.8866979],"study_design_scores_gemma":[0.00001183551,0.00004500866,0.0001248196,0.001945869,0.00002624478,0.0002815978,0.00003075773,0.00004243195,0.000221949,0.001738684,0.9955192,0.00001166748],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00008664271,0.9957587,0.000286055,0.001203688,0.0008725054,0.000008760005,0.00002826352,0.00002082426,0.001734436],"genre_scores_gemma":[0.0005905661,0.9964713,0.0004980896,0.000994825,0.0003709418,0.00001240686,0.0000684926,0.000009018465,0.0009843829],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004328139,"threshold_uncertainty_score":0.02240837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03728449986344984,"score_gpt":0.420034904596466,"score_spread":0.3827504047330161,"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."}}