{"id":"W4381512735","doi":"10.7287/peerj-cs.1429v0.1/reviews/1","title":"Peer Review #1 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0070422,0.0010206,0.001489744,0.003673867,0.003351331,0.006077381,0.00329936,0.002388712,0.2501359],"category_scores_gemma":[0.05517254,0.0007168002,0.001016633,0.002666328,0.001157078,0.004634614,0.004605253,0.002195574,0.1916231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001940241,"about_ca_system_score_gemma":0.009354157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004311786,"about_ca_topic_score_gemma":0.0121677,"domain_scores_codex":[0.9922675,0.001009563,0.0004700826,0.0009458268,0.004670284,0.0006367828],"domain_scores_gemma":[0.9177479,0.004523473,0.002391804,0.006658425,0.06286996,0.005808534],"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":[0.00003744521,0.00001221553,0.0003591778,0.000289726,0.00001319854,0.00008029732,0.00002633078,0.0001559674,0.0006430749,0.001044341,0.9216712,0.07566701],"study_design_scores_gemma":[0.00003284724,0.00003148425,0.001086437,0.0001722361,0.00001536675,0.000132549,0.00006382323,0.001438186,0.001362379,0.002086169,0.9935513,0.00002716583],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.01251857,0.01489157,0.05488839,0.1371089,0.5106719,0.003834017,0.01394465,0.01718558,0.2349565],"genre_scores_gemma":[0.04647416,0.01456809,0.02245778,0.01425234,0.06765264,0.001946124,0.02612179,0.007936584,0.7985905],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9929578,"threshold_uncertainty_score":0.8367878,"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."}}