{"id":"W4381512822","doi":"10.7287/peerj-cs.1429v0.1/reviews/3","title":"Peer Review #3 of \"TbsNet: the importance of thin-branch structures in CNNs (v0.1)\"","year":2023,"lang":"en","type":"peer-review","venue":"","topic":"Machine Learning in Materials Science","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institute for Advanced Research","keywords":"Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01384558,0.0005544219,0.002041952,0.0001658668,0.0000871775,0.00006536857,0.003158269,0.0002449711,0.02061032],"category_scores_gemma":[0.01075419,0.0003279446,0.0003052344,0.001151536,0.0005654935,0.000142438,0.000704416,0.0006389356,0.0002565689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006597176,"about_ca_system_score_gemma":0.0004803442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001502142,"about_ca_topic_score_gemma":0.0006318669,"domain_scores_codex":[0.9919195,0.0008275609,0.002286196,0.0009360897,0.003412356,0.0006183335],"domain_scores_gemma":[0.9938101,0.0006535946,0.002083685,0.0020023,0.001365247,0.00008509971],"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":[0.000005134686,0.00001910537,0.0001794527,0.05782346,0.000008995512,0.000006184036,0.0001006416,0.0001215972,0.00685356,0.001232911,0.9334511,0.0001979179],"study_design_scores_gemma":[0.0001865255,0.00007953499,0.002907032,0.06238228,0.0001451526,0.00002318322,0.00001974091,0.00008300118,0.005539087,0.003733602,0.9242548,0.0006460839],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"other","genre_scores_codex":[0.006318752,0.4728033,0.000204939,0.4127561,0.01976069,0.006524322,0.002982138,0.0004902775,0.07815943],"genre_scores_gemma":[0.001792818,0.165672,0.005657264,0.02334152,0.0008330303,0.0003427971,0.0007053135,0.0002430105,0.8014122],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7232528,"threshold_uncertainty_score":0.9999173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03680461977405933,"score_gpt":0.351901711505319,"score_spread":0.3150970917312596,"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."}}