{"id":"W4388234985","doi":"10.1017/s1369415423000407","title":"KRV volume 28 issue 3 Cover and Front matter","year":2023,"lang":"en","type":"article","venue":"Kantian Review","topic":"Metallurgy and Material Science","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Front cover; Cover (algebra); Chemistry; Physics; Computer science; Engineering; Mechanical engineering","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005275526,0.0006699261,0.0005490821,0.001519406,0.0009688701,0.003904024,0.0007102462,0.001269897,0.7874991],"category_scores_gemma":[0.001077676,0.0003076193,0.0005291793,0.0009011625,0.0004949883,0.001305623,0.001630584,0.001647567,0.7432042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001223125,"about_ca_system_score_gemma":0.001129857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001008572,"about_ca_topic_score_gemma":0.002067743,"domain_scores_codex":[0.9994614,0.00003415302,0.00002221871,0.00009109705,0.0003281279,0.00006307672],"domain_scores_gemma":[0.9992158,0.00006749931,0.00003703016,0.0001442136,0.000340674,0.0001946647],"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":[0.00004767966,0.0000470507,0.000197783,0.0002812836,0.000009563234,0.00008096,0.00002058104,0.00007403774,0.002005262,0.00449106,0.8773673,0.1153774],"study_design_scores_gemma":[0.000004544597,0.00000936394,0.0003640317,0.00006607499,0.000002329113,0.00008288728,0.00001730899,0.00004175755,0.0003758314,0.0004762066,0.9985567,0.000003056585],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001042066,0.003418105,0.0006858923,0.002581837,0.009788993,0.00008875052,0.001795896,0.001080359,0.9795181],"genre_scores_gemma":[0.003342844,0.001482029,0.0003005336,0.0005699625,0.0008580784,0.0000230246,0.0008369989,0.0003682461,0.9922183],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2125009,"threshold_uncertainty_score":0.3031068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01921592808401002,"score_gpt":0.2722230569834629,"score_spread":0.2530071288994529,"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."}}