{"id":"W6945283674","doi":"10.24433/co.5961252.v1","title":"CoBE_DESeq2 cfMeDIPseq","year":2022,"lang":"en","type":"other","venue":"Code Ocean","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network","funders":"","keywords":"Data source; Identification (biology); Natural (archaeology); Order (exchange)","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":["insufficient_payload"],"category_scores_codex":[0.003366565,0.003260236,0.002142944,0.002979969,0.002878843,0.004169432,0.003517673,0.002913142,0.3713198],"category_scores_gemma":[0.008325682,0.0029259,0.002344335,0.00254924,0.0007154697,0.002289454,0.004031827,0.002478397,0.336945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002062442,"about_ca_system_score_gemma":0.002942625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01090667,"about_ca_topic_score_gemma":0.01408278,"domain_scores_codex":[0.9979727,0.0003808921,0.0001149455,0.0007381167,0.0005464312,0.0002469555],"domain_scores_gemma":[0.9976865,0.0009978847,0.0001741327,0.0004806831,0.0004489856,0.0002117864],"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":[0.0003865184,0.00002276367,0.0008465089,0.001025124,0.0001055414,0.00008894642,0.0001397487,0.0004111594,0.004439336,0.002247594,0.9804854,0.009801254],"study_design_scores_gemma":[0.0002675943,0.00004378742,0.002658851,0.000210886,0.00008936101,0.0002557621,0.00005634435,0.0009625594,0.008417173,0.003696656,0.983202,0.0001390319],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.0009950107,0.0005379939,0.01403356,0.0005817894,0.0004213383,0.000145407,0.9002819,0.06652077,0.01648224],"genre_scores_gemma":[0.006135452,0.0004834991,0.02203838,0.002437697,0.0001530408,0.0008627321,0.874794,0.07541718,0.01767803],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.6286802,"threshold_uncertainty_score":0.896736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02077219027456684,"score_gpt":0.2647721467596744,"score_spread":0.2439999564851075,"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."}}