{"id":"W2229185311","doi":"10.12783/jmc.v1i2.63","title":"Towards the Standardized Fabrication of CNT-Cement Based Composites for Structural Health Monitoring: An Application-Oriented Literature Survey","year":2013,"lang":"en","type":"article","venue":"Journal of Medical Cases","topic":"Smart Materials for Construction","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Structural health monitoring; Carbon nanotube; Context (archaeology); Structural material; Structural system; Systems engineering; Nanotechnology; Computer science; Engineering; Materials science; Civil engineering; Structural engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00151938,0.00009032813,0.0002138679,0.00003644172,0.0001204682,0.00004650338,0.0002576313,0.00005986901,0.0002859588],"category_scores_gemma":[0.0006019588,0.00005422896,0.00006507966,0.0001650552,0.000151258,0.0002172749,0.00003524211,0.0001142193,0.000001918222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001529131,"about_ca_system_score_gemma":0.000106625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001238749,"about_ca_topic_score_gemma":0.00006330683,"domain_scores_codex":[0.9979975,0.0002490159,0.0005289382,0.0001113921,0.0009766953,0.0001365006],"domain_scores_gemma":[0.9986631,0.0002573507,0.0005394486,0.0001630912,0.0001899033,0.0001870906],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000864971,0.0002723541,0.8407521,0.0001334839,0.00007971423,0.000005320282,0.0009516979,0.0005869248,0.02279839,0.0001368787,0.008183402,0.1252347],"study_design_scores_gemma":[0.001608951,0.001115369,0.9721249,0.0001203371,0.00002806827,0.0001449723,0.0002493325,0.004511162,0.01704824,0.0002633079,0.002663737,0.0001215676],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9815248,0.0001415908,0.01564276,0.001683731,0.0005591346,0.000378514,0.00005990212,0.000006892058,0.000002655438],"genre_scores_gemma":[0.9949509,0.00002728843,0.004587227,0.0001139536,0.0002503591,0.00001995197,0.00004199052,0.000007022436,0.000001292027],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1313728,"threshold_uncertainty_score":0.3131048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02449722618710894,"score_gpt":0.3100317865235576,"score_spread":0.2855345603364486,"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."}}