{"id":"W7162148028","doi":"10.82308/1431","title":"Development of green concrete from industrial wastes and carbon dioxide","year":2016,"lang":"en","type":"dissertation","venue":"","topic":"Concrete and Cement Materials Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Carbonatation; Cement; Clinker (cement); Carbon oxide","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002044625,0.0004246731,0.0002450281,0.0004218402,0.0002237329,0.000469284,0.000268905,0.0004972286,0.001484676],"category_scores_gemma":[0.0002087294,0.0001972781,0.0004739128,0.000300533,0.0001982488,0.000356954,0.0003356298,0.000420235,0.0005171574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004738907,"about_ca_system_score_gemma":0.0006899296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001422003,"about_ca_topic_score_gemma":0.006908296,"domain_scores_codex":[0.999751,0.00001391616,0.00001366125,0.00003716911,0.0001478903,0.00003625418],"domain_scores_gemma":[0.9998696,0.00001169388,0.00002839002,0.00001511721,0.00004540231,0.00002982752],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003531055,0.00005869669,0.000368041,0.0002216322,0.00001065355,0.0001541509,0.00003641694,0.001603656,0.987089,0.0004239618,0.00008890592,0.009909517],"study_design_scores_gemma":[0.00000684679,0.0002201992,0.001649459,0.00002056178,0.00001631477,0.0001058198,0.00002890264,0.00169603,0.9877775,0.00007484381,0.008394086,0.000009341743],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9770197,0.002142303,0.01051887,0.0001494868,0.0001171049,0.00008296618,0.0001790482,0.0003101481,0.009480545],"genre_scores_gemma":[0.9682652,0.001847764,0.01663447,0.00003864498,0.00001152972,0.00004905721,0.0002977191,0.00005778346,0.01279772],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001484676,"threshold_uncertainty_score":0.004966676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02450972464830453,"score_gpt":0.2426732576329517,"score_spread":0.2181635329846472,"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."}}