{"id":"W2623223676","doi":"10.1021/acssensors.7b00112","title":"An Inexpensive, Single Use Carbon-Based Sensor for the Rapid and Early Detection of Hydrocarbon Leaks","year":2017,"lang":"en","type":"article","venue":"ACS Sensors","topic":"Analytical Chemistry and Sensors","field":"Chemical Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Canada Excellence Research Chairs, Government of Canada; Alberta Innovates; Alberta Innovates - Technology Futures; Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Paraffin wax; Hexane; Wax; Materials science; Hydrocarbon; Carbon fibers; Chemical engineering; Solvent; Nanoparticle; Evaporation; Fabrication; Carbon nanotube; Electrical resistivity and conductivity; Nanotechnology; Organic chemistry; Chemistry; Composite material","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000995624,0.000178178,0.0002430384,0.00003060448,0.0002041199,0.0000734428,0.0001869563,0.0001602891,0.000004334101],"category_scores_gemma":[0.0009925468,0.0001408942,0.00008877602,0.00004235445,0.0002151841,0.000119812,0.00002689992,0.000174599,7.716639e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002463446,"about_ca_system_score_gemma":0.000008837977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000316444,"about_ca_topic_score_gemma":0.00001407549,"domain_scores_codex":[0.9990879,0.00001942938,0.0002311021,0.0002648002,0.0001491759,0.0002475843],"domain_scores_gemma":[0.9983916,0.0006107741,0.0001482537,0.0006290237,0.0001108305,0.0001095594],"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":[0.0001311979,0.00003341187,0.001160075,0.00004262414,0.00004490602,0.000004223601,0.0001164149,0.002653176,0.9950013,0.0000251351,0.000002337856,0.0007852037],"study_design_scores_gemma":[0.0004470014,0.0001027192,0.001958101,0.00001944099,0.00007531649,0.000003568916,0.00009149744,0.2080896,0.7888818,0.00001854447,0.0001572647,0.0001551959],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984873,0.00004229239,0.0007161447,0.0001481853,0.00005792664,0.0001644234,0.000008441644,0.00005512259,0.0003201792],"genre_scores_gemma":[0.9993693,0.000007447703,0.0002124448,0.00003445013,0.0001274846,0.00000726945,0.000002627692,0.00003314459,0.000205789],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2061195,"threshold_uncertainty_score":0.57455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02723519866502373,"score_gpt":0.2430513426210637,"score_spread":0.21581614395604,"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."}}