{"id":"W4213303641","doi":"10.26434/chemrxiv.13289354.v2","title":"Standardized Stirring for Small Scale Surveys","year":2021,"lang":"en","type":"preprint","venue":"ChemRxiv","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; British Columbia Knowledge Development Fund; University of Victoria","keywords":"Vial; Scale (ratio); Reaction rate; Materials science; Analytical Chemistry (journal); Catalysis; Chemistry; Chromatography; Physics; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001509852,0.0003615245,0.0005581978,0.00005942541,0.00003784575,0.00007683231,0.0004241821,0.0005710897,0.00002846065],"category_scores_gemma":[0.0002939831,0.0004038829,0.0002348092,0.0001145294,0.00007062792,0.00003668964,0.0004190415,0.000686297,0.000004403118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002478129,"about_ca_system_score_gemma":0.0000142747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004045757,"about_ca_topic_score_gemma":0.00001764024,"domain_scores_codex":[0.9986457,0.00001555842,0.0003065698,0.0004767153,0.0001271517,0.0004282535],"domain_scores_gemma":[0.998889,0.0001601451,0.00005747461,0.0006994612,0.0001194472,0.00007444889],"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":[0.00001437253,0.00003641842,0.0003982878,0.002711019,0.0002903649,0.00002114022,0.0001281899,0.06456291,0.8990475,0.00004568743,0.0008974753,0.03184665],"study_design_scores_gemma":[0.0003443031,0.000005107941,0.0001090793,0.0001944053,0.00003334862,0.000001736541,0.00007980999,0.003214291,0.9907109,0.002688489,0.00213346,0.0004851295],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7611023,0.00139442,0.233104,0.00004424296,0.0005701583,0.0003564455,0.00003998132,0.002361589,0.001026907],"genre_scores_gemma":[0.9243571,0.0003373696,0.07436403,0.00001036751,0.0001715205,0.0002520985,0.0001835706,0.0001532572,0.0001707473],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1632548,"threshold_uncertainty_score":0.9998413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02662007691434529,"score_gpt":0.2467882522552163,"score_spread":0.220168175340871,"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."}}