{"id":"W3042631579","doi":"10.3390/cancers12071956","title":"Dual-Agent Photodynamic Therapy with Optical Clearing Eradicates Pigmented Melanoma in Preclinical Tumor Models","year":2020,"lang":"en","type":"article","venue":"Cancers","topic":"Photodynamic Therapy Research Studies","field":"Medicine","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Fundação de Amparo à Pesquisa do Estado de São Paulo; Princess Margaret Cancer Foundation","keywords":"Photodynamic therapy; Melanoma; Medicine; Dermatology; Clearing; Dual (grammatical number); Oncology; Cancer research; Chemistry; Art","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":[0.0003606454,0.0006300278,0.0005508242,0.0004414042,0.0001570571,0.0003190846,0.0003515685,0.0004564527,0.0009794011],"category_scores_gemma":[0.0001213775,0.0002113404,0.0003367157,0.0001727066,0.0002659611,0.000300453,0.0001971021,0.000866236,0.0002217183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002714438,"about_ca_system_score_gemma":0.0002519101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008768656,"about_ca_topic_score_gemma":0.001749962,"domain_scores_codex":[0.9998136,0.00002530657,0.00001454759,0.00004503509,0.00005827412,0.00004319857],"domain_scores_gemma":[0.9998682,0.00001809813,0.00004315748,0.00002088893,0.00001699518,0.00003270539],"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":[0.00008657795,0.0001066331,0.00003791447,0.000029437,0.000003280303,0.00001658072,0.000009437641,0.00007223352,0.9989135,0.00003663617,0.00002427257,0.0006635348],"study_design_scores_gemma":[0.00002629493,0.001593617,0.0007347986,0.00000416074,0.00001940156,0.0001113954,0.000007761745,0.001254688,0.9951639,0.00002288128,0.001057864,0.000003206725],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986878,0.001615301,0.009644076,0.0001033344,0.00005700727,0.0001872058,0.0002346444,0.000191954,0.001088323],"genre_scores_gemma":[0.9797518,0.001855884,0.01277702,0.00005302579,0.00002533513,0.0002334018,0.0002936247,0.0000506385,0.004959283],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009794011,"threshold_uncertainty_score":0.003276408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05904766130275005,"score_gpt":0.3395112847032417,"score_spread":0.2804636234004916,"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."}}