{"id":"W6958651145","doi":"10.6084/m9.figshare.16735774.v1","title":"Additional file 1 of On the robustness of generalization of drug–drug interaction models","year":2021,"lang":"en","type":"article","venue":"Figshare","topic":"Ion Channels and Receptors","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Robustness (evolution); Generalization; Interaction model; Set (abstract data type)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00159923,0.001703234,0.001066843,0.001423797,0.0005385921,0.001297225,0.002338152,0.0016204,0.8173794],"category_scores_gemma":[0.0265181,0.0005426793,0.00116633,0.001669797,0.0002704848,0.001568272,0.0009950796,0.001477799,0.2025072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009086204,"about_ca_system_score_gemma":0.001277643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006546481,"about_ca_topic_score_gemma":0.01476399,"domain_scores_codex":[0.9994946,0.0001035262,0.00005192147,0.0001375728,0.0001502964,0.00006218562],"domain_scores_gemma":[0.9806295,0.01600558,0.0004100137,0.001191459,0.00155888,0.0002045847],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001826212,0.00008918651,0.001062571,0.001120166,0.00006467902,0.00004781181,0.0000165788,0.002896836,0.0001160536,0.0007588516,0.9845084,0.009136283],"study_design_scores_gemma":[0.009283287,0.0006924202,0.01868862,0.002638767,0.0003797811,0.0006074595,0.0002577024,0.08174024,0.005169559,0.04187997,0.8384105,0.0002517085],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.0003525656,0.00003542043,0.0007986592,0.000112565,0.00003681253,0.00003621354,0.9963701,0.001348168,0.0009095041],"genre_scores_gemma":[0.01160877,0.0001207087,0.006977913,0.0003406114,0.00008570545,0.0008835477,0.9714649,0.001992749,0.00652517],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8173794,"threshold_uncertainty_score":0.2604861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07656454376343497,"score_gpt":0.2573784188265853,"score_spread":0.1808138750631503,"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."}}