{"id":"W2032179945","doi":"10.1002/ijch.201100074","title":"Animal Models for Photodiagnosis and Photodynamic Therapy","year":2012,"lang":"en","type":"article","venue":"Israel Journal of Chemistry","topic":"Nanoplatforms for cancer theranostics","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre d'expertise et de recherche en infrastructures urbaines","funders":"","keywords":"Biodistribution; Chemistry; Animal model; Variety (cybernetics); Biochemical engineering; Photodynamic therapy; Animal species; Drug; Nanotechnology; Computational biology; Medical physics; Pharmacology; Artificial intelligence; Computer science; Internal medicine; In vitro; Biochemistry; Evolutionary biology","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":[0.001759473,0.001153706,0.0008169175,0.001418423,0.0006792241,0.0007677869,0.0008079365,0.001593857,0.008107067],"category_scores_gemma":[0.0003925833,0.0004938523,0.0008448235,0.0006159205,0.0008801512,0.0009080496,0.0006305832,0.001884919,0.002064497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006216857,"about_ca_system_score_gemma":0.000527987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008590675,"about_ca_topic_score_gemma":0.001929832,"domain_scores_codex":[0.9990823,0.0002868779,0.00009030311,0.0001485701,0.0002879016,0.0001040545],"domain_scores_gemma":[0.9994161,0.0001755482,0.000107123,0.0001565436,0.00007072174,0.00007399132],"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":[0.0008112879,0.0009659997,0.0003647594,0.001111956,0.00007405209,0.000297429,0.00008889609,0.0006200951,0.9739389,0.006002532,0.002977613,0.01274643],"study_design_scores_gemma":[0.0002525793,0.007905135,0.00198901,0.0003238147,0.0002377935,0.001874877,0.00007944843,0.002391689,0.8630794,0.002262589,0.11953,0.00007370244],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.391598,0.0886813,0.4177522,0.004829855,0.004406657,0.006659893,0.01273632,0.003748059,0.06958764],"genre_scores_gemma":[0.6270902,0.05464419,0.2156546,0.001608823,0.0004249414,0.008681816,0.01051809,0.0004386564,0.08093887],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008107067,"threshold_uncertainty_score":0.02712083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01337832913723775,"score_gpt":0.2272494566394747,"score_spread":0.213871127502237,"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."}}