{"id":"W4394428873","doi":"10.6084/m9.figshare.21376233","title":"Additional file 1 of Neoplastic cell enrichment of tumor tissues using coring and laser microdissection for proteomic and genomic analyses of pancreatic ductal adenocarcinoma","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Pancreatic and Hepatic Oncology Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Laser capture microdissection; Pancreatic ductal adenocarcinoma; Coring; Microdissection; Biology; Cancer research; Pancreatic cancer; Cancer; Gene; Genetics; Materials science; Gene expression","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001438869,0.001563553,0.001637537,0.0022914,0.0008706682,0.00204118,0.002171818,0.0018536,0.4831679],"category_scores_gemma":[0.0129785,0.0006119247,0.001244796,0.003454922,0.0003847583,0.001243678,0.001239005,0.001280477,0.09394515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001213858,"about_ca_system_score_gemma":0.002067401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00711417,"about_ca_topic_score_gemma":0.01410392,"domain_scores_codex":[0.9992437,0.00009871971,0.0001256136,0.0003015506,0.0001201424,0.0001101213],"domain_scores_gemma":[0.9929964,0.00464744,0.0005250531,0.0006705272,0.0008641526,0.0002963719],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004253017,0.00010641,0.004313552,0.004239411,0.0001320629,0.0001104268,0.00004779194,0.0006637707,0.0004165305,0.0005157345,0.9836263,0.005402584],"study_design_scores_gemma":[0.005207488,0.00029084,0.0379349,0.002833761,0.0004394796,0.0008854358,0.0002430312,0.001971223,0.001810435,0.006958676,0.9412913,0.0001334354],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009805184,0.00001757249,0.0000554245,0.00002367771,0.000006822536,0.00001562928,0.9995726,0.00007581774,0.0001343505],"genre_scores_gemma":[0.001249057,0.00005046884,0.0005253508,0.0001055304,0.00001556608,0.000301546,0.9968553,0.0001076612,0.0007895412],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4831679,"threshold_uncertainty_score":0.7371982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06899240497033929,"score_gpt":0.3430052682989765,"score_spread":0.2740128633286372,"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."}}