{"id":"W4243977334","doi":"10.1515/iupac.83.0453","title":"Screen","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Computational Drug Discovery Methods","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Glossary; Context (archaeology); Field (mathematics); Computer science; Process (computing); Multidisciplinary approach; Data science; Management science; Sociology; Engineering; Biology; Linguistics; Social science; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001164112,0.0004296679,0.0005363076,0.0003356227,0.0001166436,0.0002447067,0.002469538,0.0002444029,0.0005810542],"category_scores_gemma":[0.0006750352,0.0003346373,0.000212897,0.0004239226,0.000103946,0.0004228685,0.001167463,0.000410433,0.00001012661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003987731,"about_ca_system_score_gemma":0.001612012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000080155,"about_ca_topic_score_gemma":0.0001218802,"domain_scores_codex":[0.9961475,0.0002975168,0.0004859397,0.0008382116,0.001768094,0.0004627263],"domain_scores_gemma":[0.9968177,0.0005053132,0.0002827383,0.001650003,0.0005374824,0.0002067613],"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":[0.00001668827,0.00008407974,9.661194e-7,0.00002937048,0.00005139635,0.00006116954,0.000005575258,0.0000723988,0.00000109864,0.0008688882,0.9691985,0.02960991],"study_design_scores_gemma":[0.0004348273,0.00009798932,0.0000512028,0.0001882332,0.00002209607,0.00002566332,0.000001219923,0.0008674114,0.000009824975,0.006275433,0.991583,0.0004430575],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000004557516,0.0002476614,0.2745331,0.001187375,0.0009314904,0.0001549619,0.7227536,0.0001173994,0.00006988485],"genre_scores_gemma":[0.000001960799,0.000143928,0.01214431,0.0006324489,0.0008473087,0.000009455307,0.9859785,0.00002298625,0.0002190326],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.263225,"threshold_uncertainty_score":0.9999106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0221830991466521,"score_gpt":0.4340770008921213,"score_spread":0.4118939017454691,"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."}}