{"id":"W4211038908","doi":"10.1016/j.chemphyslip.2022.105181","title":"Mechanisms of hypericin incorporation to explain the photooxidation outcomes in phospholipid biomembrane models","year":2022,"lang":"en","type":"article","venue":"Chemistry and Physics of Lipids","topic":"Photodynamic Therapy Research Studies","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Instituto Nacional de Ciência e Tecnologia em Eletrônica Orgânica; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Hypericin; Chemistry; Monolayer; Membrane; Photosensitizer; Biophysics; Photochemistry; Singlet oxygen; Phospholipid; Liposome; Stereochemistry; Organic chemistry; Biochemistry; Oxygen","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":[0.0002807735,0.00009338927,0.0002713678,0.00001740005,0.00006665559,0.000003406567,0.0001045541,0.00002235909,0.00003011259],"category_scores_gemma":[0.0000314772,0.000071949,0.00004458287,0.0003156169,0.00007054451,0.0000533974,0.0001276925,0.0001361759,1.875151e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004748924,"about_ca_system_score_gemma":0.00005245544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006186884,"about_ca_topic_score_gemma":0.000001218623,"domain_scores_codex":[0.9992262,0.00002796615,0.0002135601,0.0001446581,0.0002777831,0.0001098159],"domain_scores_gemma":[0.9995126,0.0000829067,0.00009838533,0.0002154823,0.0000529159,0.00003769709],"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":[0.000257214,0.0001948145,0.0003239723,0.0001594725,0.00004078335,7.282787e-7,0.001051266,0.0006153407,0.9951231,0.0004971942,0.00002931466,0.001706724],"study_design_scores_gemma":[0.0008132895,0.0001621197,0.0009633189,0.00002917382,0.00001506882,0.000002610728,0.001182248,0.004024459,0.9827067,0.009981923,0.00004740206,0.00007169391],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975435,0.0000570819,0.001042962,0.0005122921,0.00003397572,0.0002940449,0.00005921479,0.000007995717,0.000448892],"genre_scores_gemma":[0.9992275,0.00003504808,0.0002627448,0.0001003428,0.00002608055,0.00009520816,0.00004169915,0.000008897033,0.0002024544],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01241648,"threshold_uncertainty_score":0.2933995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02119955350525489,"score_gpt":0.2781779389754923,"score_spread":0.2569783854702374,"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."}}