{"id":"W6929990955","doi":"10.5281/zenodo.11625998","title":"+27640409447'',,./[][)* THE 3 IN 1 SSD CHEMICAL SOLUTIONS AND ACTIVATION POWDER FOR CLEANING OF BLACK NOTES","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Chemical industry; Chemical products; Chemical laboratory; Chemical safety; Organic chemicals; Euros","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":[],"consensus_categories":[],"category_scores_codex":[0.0003977797,0.0001330356,0.0001256612,0.0001430454,0.0001806245,0.0001278524,0.0003616102,0.0001678161,0.0007268764],"category_scores_gemma":[0.0008005325,0.0001163337,0.00004563792,0.000159791,0.0002033163,0.00000586031,0.0006676918,0.0002302092,0.0002351119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002484607,"about_ca_system_score_gemma":0.000004970164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000168227,"about_ca_topic_score_gemma":0.000001360427,"domain_scores_codex":[0.9991272,0.00008280398,0.0002051545,0.0002497021,0.0001342131,0.0002009414],"domain_scores_gemma":[0.9994106,0.00002050116,0.000131754,0.0002903056,0.000106946,0.00003989489],"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":[0.00006501762,0.00005840561,0.000004143028,0.0006625301,0.0001132852,5.359233e-7,0.0008580199,0.00006814008,0.05116771,0.00311668,0.9278873,0.01599826],"study_design_scores_gemma":[0.000265015,0.0001068918,0.00003056182,0.0001306401,0.00001882618,0.00001149301,0.0001604587,0.0009090336,0.002536464,0.0001094241,0.9955875,0.0001336684],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01206734,0.001212462,0.02359999,0.002946545,0.0002554484,0.002716891,0.001041354,0.0005610731,0.9555989],"genre_scores_gemma":[0.8425811,0.001059133,0.005445894,0.000577317,0.00151941,0.000001172669,0.01292597,0.01451246,0.1213776],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8342214,"threshold_uncertainty_score":0.7958786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365418838907135,"score_gpt":0.2611930182514094,"score_spread":0.2375388298623381,"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."}}