{"id":"W7128539836","doi":"10.17504/protocols.io.36wgqnwkxgk5/v1","title":"VarChamp Cell Painting v1","year":2024,"lang":"","type":"article","venue":"","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Painting; Missense mutation; Cell; Feature (linguistics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004223136,0.0006130923,0.0003378907,0.0006186441,0.0005975195,0.0007122709,0.0006774663,0.0009874555,0.009077447],"category_scores_gemma":[0.0003904482,0.0003647479,0.0004016169,0.0004211289,0.0005410657,0.000291937,0.0004255267,0.001515317,0.001930747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000486634,"about_ca_system_score_gemma":0.0003800756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00240842,"about_ca_topic_score_gemma":0.004190925,"domain_scores_codex":[0.9994254,0.00007062878,0.00003803315,0.0001748301,0.0001822721,0.0001088083],"domain_scores_gemma":[0.9995133,0.0002118827,0.00005875246,0.00009242503,0.00005781495,0.00006587491],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004173864,0.00001067903,0.0001439428,0.00002675107,0.000009103191,0.0002422773,0.00002132061,0.00008023129,0.9976381,0.0003901746,0.0001397068,0.001255925],"study_design_scores_gemma":[0.00001328613,0.00005750155,0.00378792,0.000005933395,0.00002492686,0.001255077,0.00004221614,0.001531156,0.9870744,0.0001517136,0.006046963,0.000008917824],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"software","genre_scores_codex":[0.9440979,0.001419453,0.0329941,0.0006073638,0.0002474424,0.00008180198,0.002740033,0.0008824393,0.01692941],"genre_scores_gemma":[0.9494015,0.0008577654,0.02820352,0.0002656635,0.00002358597,0.00010292,0.003518653,0.0007873948,0.01683897],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.009077447,"threshold_uncertainty_score":0.03036714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005379465348769446,"score_gpt":0.2559749858364839,"score_spread":0.2505955204877145,"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."}}