{"id":"W2898910264","doi":"10.1051/matecconf/201819908004","title":"Guidelines for concrete surface preparation: 10 years research and experience","year":2018,"lang":"en","type":"article","venue":"MATEC Web of Conferences","topic":"Innovative concrete reinforcement materials","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Wallonie-Bruxelles International; Ministerstwo Edukacji i Nauki","keywords":"Overlay; Compatibility (geochemistry); Land reclamation; Construction engineering; Civil engineering; Engineering; Computer science; Chemical engineering; Archaeology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005431984,0.00009176986,0.0001789785,0.00006877118,0.00005322758,0.00007543553,0.0001548658,0.00005609824,0.0007835964],"category_scores_gemma":[0.000171385,0.00008567327,0.00001202353,0.000141996,0.0003712113,0.0001351385,0.00004743849,0.00003175311,0.00002421838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001026265,"about_ca_system_score_gemma":0.0001087945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000233862,"about_ca_topic_score_gemma":0.000004315956,"domain_scores_codex":[0.9991347,0.00002031335,0.0003257931,0.0001342991,0.0001888441,0.0001961103],"domain_scores_gemma":[0.9983568,0.00009515349,0.00004768459,0.0001445569,0.001328452,0.00002736604],"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":[0.0001712145,0.000001505301,0.0006353363,0.0002911036,0.00006234439,8.322546e-7,0.001760837,0.00008697555,0.916854,0.05791491,0.02092834,0.001292636],"study_design_scores_gemma":[0.0003450115,0.0004765682,0.00019219,0.00009627113,0.000004072945,0.000001273403,0.0006651269,0.02002952,0.8015839,0.0006669183,0.1757627,0.0001764453],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9799818,0.0001312891,0.0005862384,0.00005562314,0.0002170245,0.0003013647,0.00002293484,0.00007463901,0.01862904],"genre_scores_gemma":[0.9968917,0.00007472408,0.00207501,0.00001306205,0.0001131551,0.00003747353,0.000008128961,0.00001054798,0.0007762038],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1548344,"threshold_uncertainty_score":0.8579832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1634689293956524,"score_gpt":0.4062461712524386,"score_spread":0.2427772418567862,"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."}}