{"id":"W4235872057","doi":"10.7287/peerj.2068v0.1/reviews/1","title":"Peer Review #1 of \"A closer look at four-dot masking of a foveated target (v0.1)\"","year":2016,"lang":"en","type":"peer-review","venue":"","topic":"Electron and X-Ray Spectroscopy Techniques","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Masking (illustration); Computer science; Physics; Art; Visual arts","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"],"consensus_categories":[],"category_scores_codex":[0.00566589,0.0007105302,0.001027572,0.003104095,0.002878738,0.003999294,0.001892927,0.002130638,0.2312245],"category_scores_gemma":[0.04516973,0.000424967,0.0006297133,0.001565854,0.001046811,0.002857655,0.002609486,0.001207324,0.1428457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001892916,"about_ca_system_score_gemma":0.006073937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003807271,"about_ca_topic_score_gemma":0.01237585,"domain_scores_codex":[0.994002,0.0006580596,0.0003447553,0.0004139479,0.004159437,0.0004218648],"domain_scores_gemma":[0.9366062,0.003620476,0.001392858,0.002850442,0.05051798,0.005011917],"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":[0.00004923769,0.00003001026,0.0007492152,0.0006942882,0.0000188175,0.0003720878,0.0001795281,0.00007724591,0.001874451,0.001916464,0.8824421,0.1115966],"study_design_scores_gemma":[0.000007584692,0.00002199668,0.001314861,0.0001185982,0.000007849015,0.0001696182,0.0001103097,0.0001457145,0.0008776826,0.00054222,0.9966722,0.0000113469],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02476704,0.0206049,0.01305765,0.1245441,0.3252665,0.003153649,0.007122423,0.004225629,0.477258],"genre_scores_gemma":[0.02974587,0.009396038,0.005225942,0.00413656,0.01765168,0.0004147417,0.003941547,0.001933626,0.927554],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9943341,"threshold_uncertainty_score":0.773523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03289889690414178,"score_gpt":0.3321030825989049,"score_spread":0.2992041856947631,"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."}}