{"id":"W2804694254","doi":"10.1371/journal.pone.0196998","title":"Manganese-porphyrin-enhanced MRI for the detection of cancer cells: A quantitative in vitro investigation with multiple clinical subtypes of breast cancer","year":2018,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Lanthanide and Transition Metal Complexes","field":"Materials Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ted Rogers Centre for Heart Research; University of Toronto; University Health Network; Princess Margaret Cancer Centre; The Scarborough Hospital; Hospital for Sick Children","funders":"Hospital for Sick Children; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; National Science Foundation","keywords":"Breast cancer; Magnetic resonance imaging; Cancer; Manganese; In vitro; Nuclear magnetic resonance; Chemistry; Cancer research; Medicine; Nuclear medicine; Materials science; Radiology; Biochemistry; Internal medicine","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":[0.0007093956,0.0004337535,0.0002928271,0.0002583828,0.0001980828,0.0002250365,0.0002933659,0.0004658485,0.0006187491],"category_scores_gemma":[0.0004975926,0.0003449329,0.0001720491,0.0003236919,0.0002447827,0.0002479883,0.0002463714,0.0004286607,0.0002148439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002486705,"about_ca_system_score_gemma":0.0002105592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00238615,"about_ca_topic_score_gemma":0.002876771,"domain_scores_codex":[0.99961,0.0001834726,0.00002297108,0.00007054979,0.00006947139,0.00004351573],"domain_scores_gemma":[0.9997657,0.0001082936,0.00002686817,0.00003292516,0.0000437302,0.00002249094],"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":[0.00007240485,0.00002665178,0.0002103564,0.00003537987,0.000004488396,0.00002518123,0.00002969294,0.0001204328,0.9985222,0.00001659158,0.00001610467,0.0009204503],"study_design_scores_gemma":[0.00000888876,0.000458981,0.001578192,0.000003222333,0.00002122809,0.0002586831,0.00002945744,0.002037535,0.9949734,0.00001714934,0.0006078922,0.000005413831],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9665231,0.002439201,0.02878567,0.0001782787,0.00001924235,0.0001510515,0.0002065811,0.0001421365,0.001554726],"genre_scores_gemma":[0.958927,0.001717491,0.03670588,0.0000678015,0.00001021849,0.0001513749,0.0003144326,0.00004353695,0.002062271],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00238615,"threshold_uncertainty_score":0.00474453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07369819850971243,"score_gpt":0.3045492995390535,"score_spread":0.230851101029341,"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."}}