{"id":"W4416609458","doi":"10.5256/f1000research.20249.r45602","title":"Referee report. For: scClustViz – Single-cell RNAseq cluster assessment and visualization [version 2; peer review: 2 approved]","year":2019,"lang":"en","type":"article","venue":"Faculty of 1000 Research Ltd","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Canada First Research Excellence Fund; University of Toronto","keywords":"Visualization; Cluster (spacecraft); Data visualization; The Internet; Information visualization","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.008283294,0.001114391,0.00155995,0.004467048,0.003352265,0.003192571,0.003334629,0.00359946,0.7004344],"category_scores_gemma":[0.06859434,0.001095867,0.001502303,0.004030226,0.001096473,0.003078235,0.005009378,0.003766007,0.428862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002714386,"about_ca_system_score_gemma":0.005648855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02057119,"about_ca_topic_score_gemma":0.04048603,"domain_scores_codex":[0.9946737,0.0008159881,0.0005845561,0.0007907015,0.002719613,0.0004154261],"domain_scores_gemma":[0.9347525,0.009803629,0.001106107,0.006532329,0.04501673,0.002788706],"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":[0.00002273062,0.00001179479,0.00006875078,0.00007351633,0.000004751936,0.00003534794,0.00003425337,0.00001931088,0.0007280859,0.0003967938,0.9932334,0.005371286],"study_design_scores_gemma":[0.00005081698,0.00001658318,0.001024284,0.00009224312,0.00001289308,0.0001592422,0.0001129867,0.000167523,0.001545324,0.001959926,0.9948071,0.00005105983],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"commentary","genre_scores_codex":[0.002368235,0.002853962,0.0656905,0.1563055,0.2370985,0.003716643,0.3259519,0.04539767,0.1606171],"genre_scores_gemma":[0.01266946,0.002821355,0.04723229,0.03342964,0.02037599,0.003790772,0.1582843,0.02480676,0.6965894],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.7004344,"threshold_uncertainty_score":0.4272939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04947030314563047,"score_gpt":0.3735764600101933,"score_spread":0.3241061568645629,"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."}}