{"id":"W4416629516","doi":"10.5256/f1000research.9706.r15716","title":"Referee report. For: ddpcr: an R package and web application for analysis of droplet digital PCR data [version 1; referees: 2 approved]","year":2016,"lang":"en","type":"article","venue":"Faculty of 1000 Research Ltd","topic":"Innovative Microfluidic and Catalytic Techniques Innovation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Web application; Digital polymerase chain reaction; The Internet; Digital data","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":[0.01347989,0.001894452,0.002150188,0.00635014,0.003107577,0.003258843,0.003858057,0.004112413,0.6963351],"category_scores_gemma":[0.132903,0.001260442,0.002380356,0.005022348,0.001087497,0.00303309,0.005177362,0.003374014,0.4100664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003185812,"about_ca_system_score_gemma":0.007287977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01826675,"about_ca_topic_score_gemma":0.02621808,"domain_scores_codex":[0.9889688,0.002281539,0.00139578,0.00172343,0.004906021,0.0007243354],"domain_scores_gemma":[0.8738708,0.02227161,0.003997308,0.01354007,0.08182228,0.004497859],"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":[0.00002612497,0.00001261174,0.00007991711,0.0001483998,0.000009753015,0.00002772332,0.0000188447,0.00003485156,0.0002414662,0.0002553161,0.99363,0.00551498],"study_design_scores_gemma":[0.00010423,0.00003106483,0.001229639,0.0002232385,0.00003579037,0.00009426198,0.00006003536,0.0002270478,0.001303417,0.002323598,0.994289,0.00007855381],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"commentary","genre_scores_codex":[0.001590128,0.002961598,0.05095302,0.07792828,0.2347287,0.004146472,0.4916658,0.03744282,0.09858323],"genre_scores_gemma":[0.01250022,0.002778345,0.04973269,0.04340486,0.03213481,0.007242587,0.2422842,0.0287854,0.5811369],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.6963351,"threshold_uncertainty_score":0.4331411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07603566473748208,"score_gpt":0.3687282846375161,"score_spread":0.292692619900034,"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."}}