{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":1,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":1,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"affc21fd59c0","filters":{"venue":"Modelling in Civil Environmental Engineering"}},"results":[{"id":"W4405355933","doi":"10.2478/mmce-2023-0009","title":"Artificial Neural Network Approach to Predict Carbonation Depth in Metakaolin, Brick Powder and Calcined Sediments-Modified Mortars","year":2023,"lang":"en","type":"article","venue":"Modelling in Civil Environmental Engineering","topic":"Concrete and Cement Materials Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Metakaolin; Carbonation; Calcination; Brick; Mortar; Materials science; Artificial neural network; Mineralogy; Composite material; Cement; Geology; Computer science; Chemistry; Artificial intelligence","authors":[{"name":"Souheyla Benamar","is_ca":false},{"name":"Zine El Abidine Kameche","is_ca":false},{"name":"Sidi Mohamed Aissa Mamoune","is_ca":false},{"name":"Hocine Siad","is_ca":true},{"name":"Youcef Houmadi","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02621790770693081,"gpt":0.2164471044445476,"spread":0.1902291967376168,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000330496,0.0007423529,0.0003044298,0.0006618993,0.0001430761,0.0004248018,0.0003201209,0.0007815187,0.0005141844],"category_scores_gemma":[0.0007745661,0.0002353592,0.0003528314,0.0003970442,0.0001391305,0.0003212239,0.0001678805,0.0003827791,0.0001282371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005407924,"about_ca_system_score_gemma":0.0002747655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007319503,"about_ca_topic_score_gemma":0.007330575,"domain_scores_codex":[0.9999027,0.00002113239,0.000008098419,0.00002706768,0.0000272234,0.00001372412],"domain_scores_gemma":[0.9997296,0.0001421481,0.00004202558,0.000009558758,0.00006426582,0.00001234215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001758533,0.0001350944,0.007270292,0.0000599898,0.00006639677,0.00007561757,0.00001884817,0.9593242,0.01200319,0.0001079556,0.0001320875,0.02063043],"study_design_scores_gemma":[0.00000160997,0.00002626683,0.002142666,0.000002592049,0.000006214476,0.000003651428,0.000004687329,0.9957645,0.00196181,0.00004339126,0.00003886542,0.000003703748],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9254716,0.0004128102,0.07210878,0.00007995108,0.00003973818,0.00003246093,0.0002523275,0.00030323,0.001299206],"genre_scores_gemma":[0.9916025,0.00009946672,0.00730931,0.00001044457,0.000004812473,0.00002202442,0.0001670211,0.000007625827,0.0007767534],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007319503,"threshold_uncertainty_score":0.01455379,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}