{"id":"W1972645118","doi":"10.1016/s0168-1656(01)00424-2","title":"A three-step strategy for targeting drug carriers to human ovarian carcinoma cells in vitro","year":2002,"lang":"en","type":"article","venue":"Journal of Biotechnology","topic":"Liver physiology and pathology","field":"Medicine","cited_by":39,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; National Institutes of Health","keywords":"Ovarian carcinoma; In vitro; Drug; Cancer research; Ovarian cancer; Anticancer drug; Chemistry; Pharmacology; Biology; Internal medicine; Medicine; Cancer; Biochemistry","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":[0.0003521858,0.0001475548,0.0005425647,0.0005455443,0.00007535607,0.000004663521,0.0002147884,0.0004699922,0.00005606311],"category_scores_gemma":[0.00008571448,0.0001259855,0.0001389964,0.0002486762,0.0001459721,0.00004633277,0.00004711104,0.0007021334,0.00001294315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008294129,"about_ca_system_score_gemma":0.00004689728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005909332,"about_ca_topic_score_gemma":0.0000664167,"domain_scores_codex":[0.9987666,0.00004505659,0.0005122426,0.00021293,0.00008548924,0.0003776689],"domain_scores_gemma":[0.99928,0.00006930107,0.000245969,0.0002090207,0.00008055869,0.0001151074],"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":[0.0004682589,0.0002997658,0.001670135,0.00004229777,0.00005925249,0.000508267,0.0004323487,0.00001564032,0.9869039,0.0004806919,0.005129601,0.003989823],"study_design_scores_gemma":[0.01084284,0.004010672,0.00854712,0.00007918896,0.0001581888,0.001057201,0.001169227,0.0006960142,0.9641927,0.002798522,0.006137086,0.0003112642],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922607,0.0004526493,0.001436983,0.005054487,0.000306947,0.0003056418,0.00001171526,0.00002451516,0.0001463832],"genre_scores_gemma":[0.9930176,0.00001916268,0.006093005,0.0005174404,0.0002375899,0.000007494841,0.000003259887,0.00001762548,0.00008684472],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02271125,"threshold_uncertainty_score":0.5137538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02438160605327228,"score_gpt":0.2633945414855582,"score_spread":0.2390129354322859,"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."}}