{"id":"W2792965236","doi":"10.1158/1538-7445.sabcs17-p2-12-15","title":"Abstract P2-12-15: ReFilx- synthetic biodegradable soft tissue fillers for breast conserving surgery in breast cancer","year":2018,"lang":"en","type":"article","venue":"Cancer Research","topic":"Reconstructive Surgery and Microvascular Techniques","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; Grand River Hospital; University of Toronto; University Health Network","funders":"","keywords":"Breast cancer; Soft tissue; Medicine; Mastectomy; Surgery; Breast reconstruction; Biomaterial; Plastic surgery; Breast augmentation; Breast tissue; Biocompatibility; Biomedical engineering; Implant; Cancer; Materials science; Internal medicine","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":[0.000210317,0.0002755157,0.0001484449,0.0002242346,0.00008318942,0.0001836252,0.0001532819,0.0003321701,0.001820833],"category_scores_gemma":[0.0001241395,0.00007768398,0.000218828,0.0001122617,0.0001379987,0.0002361635,0.0001180037,0.0002286261,0.0003646716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001148208,"about_ca_system_score_gemma":0.0001405485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001200197,"about_ca_topic_score_gemma":0.0001528024,"domain_scores_codex":[0.9999164,0.0000124671,0.000007835819,0.00001739948,0.00003073907,0.00001509746],"domain_scores_gemma":[0.9998425,0.00003303781,0.00006843837,0.00000839714,0.00002203298,0.0000255725],"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":[0.0002126232,0.0001391544,0.0002033376,0.0002261431,0.000005485285,0.00008068443,0.00002026814,0.0001987586,0.9928068,0.00008294553,0.00006376988,0.005960053],"study_design_scores_gemma":[0.00003753083,0.002677449,0.002520725,0.00002074482,0.00001874407,0.000404813,0.0000216048,0.0006682954,0.9908609,0.00002565977,0.002734906,0.000008515673],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993386,0.002520962,0.002315442,0.00005439485,0.00004078371,0.00008840008,0.0001695485,0.00005298406,0.001371652],"genre_scores_gemma":[0.9910014,0.001278992,0.004751132,0.0000584056,0.00001753096,0.00008119578,0.0002435011,0.00001696445,0.002550963],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001820833,"threshold_uncertainty_score":0.006091297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07432215260175502,"score_gpt":0.3879752395405487,"score_spread":0.3136530869387937,"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."}}