{"id":"W6939799063","doi":"10.6084/m9.figshare.22617619.v1","title":"Additional file 2 of Exploring the microbiome of oral epithelial dysplasia as a predictor of malignant progression","year":2023,"lang":"en","type":"dataset","venue":"Figshare","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver General Hospital; Beatrice Hunter Cancer Research Institute; University of British Columbia; Simon Fraser University; BC Cancer Agency; Dalhousie University","funders":"","keywords":"Microbiome; Amplicon; Abundance (ecology); Sequence (biology); Sample (material); DNA; Amplicon sequencing","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":[0.001723945,0.001556939,0.001487454,0.002007775,0.0009345288,0.002429421,0.002337905,0.00215158,0.6630799],"category_scores_gemma":[0.0190883,0.0006841068,0.001549221,0.003048965,0.0004096225,0.001641952,0.001795671,0.00138595,0.1316266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001200187,"about_ca_system_score_gemma":0.002399649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01275627,"about_ca_topic_score_gemma":0.02670097,"domain_scores_codex":[0.9990614,0.0001631763,0.0001531307,0.0003230981,0.0001519163,0.0001471957],"domain_scores_gemma":[0.9910514,0.00601996,0.0006228974,0.0008360991,0.001101316,0.0003683263],"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":[0.0002560437,0.00006106231,0.003207847,0.00408017,0.00009600652,0.00004184953,0.00005877583,0.0004883633,0.0001601624,0.000590615,0.9867754,0.004183767],"study_design_scores_gemma":[0.003186897,0.0001590216,0.02419455,0.003761013,0.0003094218,0.0003051783,0.0002607507,0.001146996,0.0006512178,0.00598014,0.9599255,0.0001191658],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005684344,0.00001424648,0.00004205683,0.00002504504,0.000008206946,0.00001573143,0.9996222,0.0000565909,0.0001589724],"genre_scores_gemma":[0.001483605,0.00004648752,0.0008643245,0.0001515839,0.00002003198,0.0004778673,0.9951153,0.0001791803,0.001661724],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6630799,"threshold_uncertainty_score":0.4805757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06781225862104974,"score_gpt":0.2932951198386551,"score_spread":0.2254828612176054,"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."}}