{"id":"W4244594472","doi":"10.3410/f.725363957.793532292","title":"Faculty Opinions recommendation of Stromal contribution to the colorectal cancer transcriptome.","year":2017,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Colorectal Cancer Treatments and Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Mount Sinai Hospital; Lunenfeld-Tanenbaum Research Institute","funders":"","keywords":"Transcriptome; Colorectal cancer; Stromal cell; Computational biology; Cancer; Medicine; Oncology; World Wide Web; Internal medicine; Computer science; Bioinformatics; Biology; Genetics; Gene; 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":[],"consensus_categories":[],"category_scores_codex":[0.001196541,0.001039176,0.001146328,0.00243953,0.0006333834,0.003082877,0.001347627,0.001459532,0.1496954],"category_scores_gemma":[0.008020147,0.0005016871,0.001398323,0.003643692,0.000337663,0.001336874,0.001877166,0.001392479,0.1063075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001128011,"about_ca_system_score_gemma":0.003536945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01167034,"about_ca_topic_score_gemma":0.0444129,"domain_scores_codex":[0.9989665,0.0001678513,0.0001131087,0.0002846887,0.0002849532,0.0001829468],"domain_scores_gemma":[0.9969165,0.0007630956,0.0004075792,0.0004908955,0.0008010024,0.0006208055],"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":[0.0001093566,0.00001367622,0.001682585,0.0007663398,0.00004458589,0.00002005328,0.00001726915,0.00006449063,0.0003469478,0.0002833799,0.9928295,0.003821917],"study_design_scores_gemma":[0.0001742757,0.000017593,0.007279035,0.0003275639,0.00008635112,0.0001147178,0.00004361404,0.0002008924,0.0005723303,0.0007731238,0.9903908,0.00001984037],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00040427,0.0003111442,0.0001396841,0.0004379933,0.0001376492,0.00002016859,0.9950042,0.0003834705,0.00316137],"genre_scores_gemma":[0.001819485,0.000436961,0.0006914871,0.0004904057,0.00006576307,0.00006940529,0.9918894,0.0002068063,0.004330269],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1496954,"threshold_uncertainty_score":0.5007809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03599102148704805,"score_gpt":0.394373368184065,"score_spread":0.358382346697017,"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."}}