{"id":"W7112171362","doi":"","title":"Cancer Theranostic Dyes","year":2023,"lang":"en","type":"article","venue":"Universidade Nova de Lisboa's Repository (Universidade Nova de Lisboa)","topic":"Dyeing and Modifying Textile Fibers","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scope (computer science); Christian ministry; Work (physics); Cancer; Government (linguistics); Technology transfer","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007801158,0.0006114446,0.0006313984,0.001548826,0.0007782417,0.001706618,0.0007910692,0.001450291,0.1368243],"category_scores_gemma":[0.0009403814,0.000225082,0.0004523876,0.001529325,0.0004014096,0.0008663929,0.0009833233,0.0009900989,0.0489093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001273789,"about_ca_system_score_gemma":0.001237023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00191804,"about_ca_topic_score_gemma":0.003256618,"domain_scores_codex":[0.9993958,0.00005613506,0.00002667088,0.0001250429,0.0003035594,0.00009271326],"domain_scores_gemma":[0.999597,0.00008947007,0.00003157073,0.00006521508,0.0001463536,0.00007044367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006920114,0.0003081942,0.0007594202,0.003346737,0.00005972339,0.0005510817,0.0002202451,0.0007733865,0.2128499,0.01939082,0.3125002,0.4485482],"study_design_scores_gemma":[0.00005283702,0.0001838709,0.0008397371,0.0002506173,0.00002748814,0.0006351363,0.00006159284,0.000577774,0.1008994,0.001460256,0.894987,0.00002427782],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04008625,0.1248836,0.0280871,0.01298664,0.007192952,0.001162318,0.02307966,0.003833141,0.7586882],"genre_scores_gemma":[0.1665984,0.04994136,0.01987168,0.003418882,0.0006422747,0.0007543915,0.01315252,0.0005788728,0.7450415],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1368243,"threshold_uncertainty_score":0.4577228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0211597672046626,"score_gpt":0.239515755683321,"score_spread":0.2183559884786584,"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."}}