{"id":"W2989575525","doi":"10.1002/cyto.a.23928","title":"Image‐Based Analysis of Protein Stability","year":2019,"lang":"en","type":"article","venue":"Cytometry Part A","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; Sunnybrook Hospital; University of Toronto; Sunnybrook Health Science Centre","funders":"Canadian Institutes of Health Research","keywords":"Stability (learning theory); Computational biology; Computer science; Artificial intelligence; Biology; Machine learning","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":[],"consensus_categories":[],"category_scores_codex":[0.0003707994,0.0001188572,0.0003099992,0.0003246084,0.00001650588,0.00001399139,0.0002062143,0.00009896931,0.0007305536],"category_scores_gemma":[0.0001300419,0.0001138521,0.0003442364,0.001328137,0.00008032251,0.000004069197,0.00008710097,0.00006020046,0.00002648948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001463762,"about_ca_system_score_gemma":0.00004520971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000185074,"about_ca_topic_score_gemma":0.00001573905,"domain_scores_codex":[0.9989613,0.00007231229,0.0002640033,0.0003685096,0.0001704594,0.0001634323],"domain_scores_gemma":[0.9987134,0.0000138887,0.0001303202,0.0009203539,0.0001713377,0.00005074829],"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":[0.00003429635,0.0001013813,0.07112687,0.00002951479,0.0003995811,6.695804e-7,0.000004764924,0.000008630492,0.9277222,0.000002704351,0.0003437967,0.0002255912],"study_design_scores_gemma":[0.0001664317,0.0001229615,0.009419489,0.000005274261,0.0002970136,1.558472e-7,0.00001858966,0.0009735376,0.9828011,0.000005559297,0.006059507,0.0001304282],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896767,0.0001221019,0.00613792,0.00001804533,0.000007902138,0.0002417699,0.00001668113,0.00002243934,0.003756444],"genre_scores_gemma":[0.9954907,0.000006163244,0.003720345,0.00006620229,0.00002280785,0.00002561213,0.0002184364,0.00001232292,0.0004373881],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06170738,"threshold_uncertainty_score":0.799905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01060886059043029,"score_gpt":0.2771745268131368,"score_spread":0.2665656662227065,"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."}}