{"id":"W1786121644","doi":"10.1039/c5ay02462e","title":"Discrimination of normal and malignant mouse ovarian surface epithelial cells in vitro using Raman microspectroscopy","year":2015,"lang":"en","type":"article","venue":"Analytical Methods","topic":"Spectroscopy Techniques in Biomedical and Chemical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Ottawa; Carleton University; University of Toronto; Toronto Public Health","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Raman microspectroscopy; In vitro; Raman spectroscopy; RNA; DNA; Macromolecule; Chemistry; Molecular biology; Biology; Biophysics; Cell biology; Biochemistry; Gene; Optics; Physics","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":[0.0004276432,0.0002518852,0.000218184,0.0006038336,0.000172076,0.0003359759,0.0002052482,0.0003133974,0.0005631781],"category_scores_gemma":[0.0003789586,0.0001871243,0.0002092144,0.0002160495,0.0002304913,0.0002400958,0.0002110651,0.0003834992,0.0003406979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000119858,"about_ca_system_score_gemma":0.0001449208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007106754,"about_ca_topic_score_gemma":0.001250389,"domain_scores_codex":[0.9997254,0.00005212529,0.00002536844,0.00005730103,0.00008309912,0.00005666511],"domain_scores_gemma":[0.9996885,0.0001493753,0.00003698085,0.00003896016,0.00005202176,0.00003417088],"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":[0.00006237756,0.00001343247,0.0004984323,0.00001728198,0.000002281846,0.00002368394,0.00002857679,0.0000461102,0.9982017,0.00005802192,0.00001227907,0.001035854],"study_design_scores_gemma":[0.00001201795,0.0002619199,0.01394151,0.000005100278,0.00002060338,0.0002753636,0.00008045109,0.003127455,0.9810082,0.0001387837,0.001117603,0.00001109498],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9815014,0.0009885094,0.01561115,0.00007893807,0.00002564387,0.00004929094,0.0003246343,0.0001593956,0.001260937],"genre_scores_gemma":[0.9830625,0.000816296,0.01399221,0.0000698212,0.00001148351,0.0000561521,0.0005946722,0.00003899038,0.001357854],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007106754,"threshold_uncertainty_score":0.002261639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03923101871778096,"score_gpt":0.40910435344903,"score_spread":0.369873334731249,"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."}}