{"id":"W4378364960","doi":"10.2139/ssrn.4459568","title":"Maintaining Cellular Lipid Composition Through Sensing of Membrane Status By Coincidence Detection","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Lipid Membrane Structure and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Coincidence; Composition (language); Membrane; Chemistry; Environmental chemistry; Analytical Chemistry (journal); Biochemistry; Medicine; Art","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":[0.0003001782,0.0003374068,0.0003854228,0.0003056256,0.0002995846,0.001011829,0.0006018586,0.0006330518,0.002609693],"category_scores_gemma":[0.0009435334,0.0002735479,0.0001547488,0.0004593657,0.0006340771,0.001207274,0.0008302476,0.0006542413,0.001120515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004837902,"about_ca_system_score_gemma":0.0002604982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005522946,"about_ca_topic_score_gemma":0.0005096187,"domain_scores_codex":[0.9997906,0.0000172497,0.00001094393,0.00008616061,0.00006684181,0.00002818124],"domain_scores_gemma":[0.9996766,0.0000860845,0.00007952037,0.00006357882,0.00004154145,0.00005265147],"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":[0.0002403325,0.00001843974,0.0006781364,0.00004796393,0.00000501144,0.0001758317,0.00003731241,0.0003590122,0.9824665,0.00613946,0.0002509437,0.009581082],"study_design_scores_gemma":[0.00003305786,0.00005271417,0.004431532,0.000008583762,0.000009668708,0.0004330709,0.00004414842,0.01974928,0.9611403,0.01103783,0.003037225,0.00002254578],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8428074,0.001078034,0.137879,0.001074405,0.0003827735,0.0000464248,0.0008911404,0.0009348721,0.01490596],"genre_scores_gemma":[0.9817043,0.000329305,0.01331383,0.00007206437,0.00003734004,0.00001817127,0.0002310529,0.00009911763,0.004194934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002609693,"threshold_uncertainty_score":0.008730292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01662235726110749,"score_gpt":0.2720275006518525,"score_spread":0.255405143390745,"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."}}