{"id":"W2187337045","doi":"","title":"CURRENT SITUATION OF SCMs IN CANADA","year":2003,"lang":"en","type":"article","venue":"","topic":"Concrete and Cement Materials Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Silica fume; Ground granulated blast-furnace slag; Fly ash; Production (economics); Current (fluid); Environmental science; Waste management; Business; Engineering","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":[0.0005430715,0.0003610259,0.0002755238,0.003132164,0.003942919,0.002615654,0.001788991,0.0008501739,0.01422856],"category_scores_gemma":[0.001595292,0.000279188,0.0005167533,0.006776879,0.0009991617,0.0008250413,0.001076811,0.0009148403,0.001313381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05871723,"about_ca_system_score_gemma":0.133766,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9945763,"about_ca_topic_score_gemma":0.9969295,"domain_scores_codex":[0.9972819,0.00006123752,0.0001055751,0.0002037281,0.001519077,0.0008284386],"domain_scores_gemma":[0.9940888,0.00009600696,0.0003370242,0.00006081356,0.004282602,0.001134713],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004213579,0.0001848465,0.3873701,0.002248849,0.0002081471,0.00262548,0.003987866,0.003547125,0.00659041,0.02579102,0.249227,0.317798],"study_design_scores_gemma":[0.0000285704,0.0000952413,0.4868522,0.0008145911,0.00008100982,0.000906476,0.0124627,0.002750614,0.001739331,0.001302695,0.4928174,0.0001491625],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6101459,0.02539381,0.001716673,0.05295266,0.0004840367,0.0002635435,0.06991812,0.001494545,0.2376307],"genre_scores_gemma":[0.8999287,0.01489709,0.003461786,0.004980453,0.00006539643,0.00006015542,0.01865273,0.0001117608,0.05784187],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05871723,"threshold_uncertainty_score":0.4260253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01567912962688126,"score_gpt":0.2353211276891114,"score_spread":0.2196419980622301,"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."}}