{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003264536,0.0007480772,0.0006438455,0.001379179,0.0006124598,0.0002942129,0.001218299,0.000699661,0.0006027801],"category_scores_gemma":[0.00006524415,0.0009381135,0.0004202101,0.00235407,0.0003592707,0.0008290042,0.0002596323,0.001078953,0.0004364593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001661927,"about_ca_system_score_gemma":0.0003859857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001192143,"about_ca_topic_score_gemma":0.0001198704,"domain_scores_codex":[0.9961725,0.0001632902,0.0004411863,0.0008663497,0.0006659369,0.001690769],"domain_scores_gemma":[0.9976699,0.0003339909,0.0001735458,0.0009912777,0.0002025026,0.0006287767],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004053598,0.0002463871,0.01044032,0.0009043762,0.001925953,0.007047202,0.01838873,0.2366789,0.3874057,0.005013166,0.3198524,0.01169148],"study_design_scores_gemma":[0.01236137,0.0007852276,0.08011492,0.002552368,0.002331691,0.001449688,0.03018273,0.2483446,0.1098879,0.001364038,0.5016939,0.008931516],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8899038,0.0005819995,0.003740672,0.001451372,0.003934082,0.0005621863,0.0001192921,0.005414039,0.09429257],"genre_scores_gemma":[0.9723524,0.0003316228,0.001254359,0.0003042982,0.0007309555,0.00001206949,0.00007639026,0.0002602318,0.02467764],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2775177,"threshold_uncertainty_score":0.9993069,"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."}}