{"id":"W4416535184","doi":"10.1016/j.colsurfa.2025.139041","title":"An automated workflow for surfactant critical micelle concentration determination","year":2025,"lang":"en","type":"article","venue":"Colloids and Surfaces A Physicochemical and Engineering Aspects","topic":"Environmental Chemistry and Analysis","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Canada First Research Excellence Fund","keywords":"Workflow; Pulmonary surfactant; Critical micelle concentration; Robustness (evolution); Pyrene; Micelle; Scalability; Binary number","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001933317,0.002704636,0.001926715,0.003801714,0.001208379,0.002358696,0.002382498,0.001533348,0.01819516],"category_scores_gemma":[0.003365461,0.001546336,0.001283123,0.001152763,0.0005138551,0.001014276,0.002190226,0.001783785,0.01553029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001003238,"about_ca_system_score_gemma":0.002944373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003232134,"about_ca_topic_score_gemma":0.003621144,"domain_scores_codex":[0.9978247,0.0001958298,0.0002243125,0.0007190046,0.0008274973,0.0002086964],"domain_scores_gemma":[0.9980427,0.0006386068,0.0001434068,0.0003537052,0.0006472668,0.0001743601],"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":[0.001239128,0.0004176556,0.003649069,0.001206155,0.0002973358,0.0008770118,0.000282316,0.003119816,0.583965,0.002931272,0.05676421,0.3452511],"study_design_scores_gemma":[0.0004088868,0.0003721443,0.007005457,0.0002720831,0.0001658092,0.001711131,0.0001616263,0.07090813,0.7856377,0.006264169,0.1266288,0.0004641355],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0168314,0.001061047,0.7984334,0.0005369962,0.0004594894,0.001635725,0.01263873,0.1640883,0.004314917],"genre_scores_gemma":[0.05828026,0.0006158961,0.9079819,0.000940865,0.0001289032,0.002718864,0.01671573,0.003853022,0.008764655],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01819516,"threshold_uncertainty_score":0.06086886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003345390495997839,"score_gpt":0.2297766888344643,"score_spread":0.2264312983384665,"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."}}