{"id":"W4250238009","doi":"10.7287/peerj-cs.11v0.2/reviews/2","title":"Peer Review #2 of \"MLitB: machine learning in the browser (v0.2)\"","year":2015,"lang":"en","type":"peer-review","venue":"","topic":"Machine Learning and Data Classification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Advanced Research","funders":"","keywords":"Computer science; Human–computer interaction; World Wide Web; Data science","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":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.009835947,0.001036121,0.001936462,0.005554087,0.00384851,0.006476989,0.003267398,0.003020122,0.431932],"category_scores_gemma":[0.07812127,0.0007807264,0.00127404,0.003156665,0.001239207,0.003990585,0.004890887,0.002292799,0.3849964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001846758,"about_ca_system_score_gemma":0.008399893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003343171,"about_ca_topic_score_gemma":0.01078618,"domain_scores_codex":[0.9860124,0.001804766,0.0008123593,0.0008939677,0.009580082,0.000896405],"domain_scores_gemma":[0.8696874,0.007575895,0.002376253,0.008855932,0.101456,0.01004857],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002762791,0.00001506815,0.000221641,0.0002073459,0.00000865255,0.00005416334,0.00002604643,0.00004286904,0.0003167098,0.0005650738,0.9623523,0.0361626],"study_design_scores_gemma":[0.00001912722,0.00001477325,0.0004887321,0.0001121183,0.000007666791,0.00007662571,0.00003096617,0.0003571134,0.0006943578,0.0007191738,0.9974644,0.00001492361],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.008328001,0.00937866,0.04271252,0.1055619,0.3481072,0.006653009,0.03257534,0.032851,0.4138324],"genre_scores_gemma":[0.01587388,0.004819016,0.01321649,0.00850936,0.02443525,0.001330642,0.02686846,0.01223841,0.8927085],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.990164,"threshold_uncertainty_score":0.8102801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0773425382009864,"score_gpt":0.3550351386452974,"score_spread":0.277692600444311,"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."}}