{"id":"W4295280091","doi":"10.1016/j.toxlet.2022.07.193","title":"SOC-V-04 A high throughput screening concept for read-across of a large inventory of related structures","year":2022,"lang":"en","type":"article","venue":"Toxicology Letters","topic":"Advanced Aircraft Design and Technologies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Health Canada","funders":"","keywords":"Cone calorimeter; Carbon nanotube; Materials science; Composite material; Epoxy; Combustion; Carbon fibers; Particle (ecology); Composite number; Polymer; Chemical engineering; Chemistry; Char; Organic chemistry","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002204249,0.0001207729,0.0002643058,0.00003556876,0.0002111385,0.000002217941,0.0003588224,0.00009316806,0.001094528],"category_scores_gemma":[0.00006569251,0.0001212498,0.00008489793,0.0002010573,0.000802309,0.00008419189,0.0004379882,0.0002225615,0.000002227506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001044069,"about_ca_system_score_gemma":0.00000755084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005139376,"about_ca_topic_score_gemma":0.00001636741,"domain_scores_codex":[0.9988364,0.00006833547,0.0002886259,0.000282246,0.000169696,0.0003547235],"domain_scores_gemma":[0.9993596,0.0001101838,0.000252001,0.0002482985,0.00000523365,0.00002467329],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002334845,0.000182412,0.0242442,0.00003234783,0.0001265649,0.00003319463,0.003841591,0.01996271,0.9211565,0.01205455,0.01155857,0.006573845],"study_design_scores_gemma":[0.01578907,0.005032832,0.1451922,0.00005604458,0.0002223193,0.000152919,0.01514265,0.003190089,0.6221938,0.1106855,0.0802857,0.002056847],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9826427,0.0000767407,0.01454486,0.001891908,0.0001592762,0.000367408,0.0001247632,0.00009410658,0.00009826403],"genre_scores_gemma":[0.9874125,0.0000027537,0.0107064,0.001651607,0.000008364691,0.00008073595,0.0000197828,0.00001575747,0.0001020656],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2989627,"threshold_uncertainty_score":0.9998186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0159389934088118,"score_gpt":0.2724642631854239,"score_spread":0.2565252697766121,"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."}}