{"id":"W2510425411","doi":"10.1002/ppap.201600099","title":"Energetics of reactions in a dielectric barrier discharge with argon carrier gas: IV ethyl lactate","year":2016,"lang":"en","type":"article","venue":"Plasma Processes and Polymers","topic":"Plasma Applications and Diagnostics","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Centre Hospitalier de l’Université de Montréal; Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Plasma-enhanced chemical vapor deposition; Argon; Dielectric barrier discharge; Monomer; Molecule; Dielectric; Plasma polymerization; Chemistry; Aqueous solution; Plasma; Atmospheric pressure; Chemical vapor deposition; Analytical Chemistry (journal); Materials science; Chemical engineering; Organic chemistry; Polymer","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":[0.00005732964,0.0001364705,0.0002245486,0.0001586609,0.0000494817,0.000008919472,0.0000471231,0.00007287499,0.00005653752],"category_scores_gemma":[0.0002626462,0.00008239908,0.00002176222,0.0004610661,0.00011218,0.00008951144,0.00001414809,0.00009185632,0.000003523106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002049434,"about_ca_system_score_gemma":0.0002291284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001162839,"about_ca_topic_score_gemma":0.000182929,"domain_scores_codex":[0.9991824,0.000009909556,0.0002218831,0.0002118611,0.0001404472,0.0002334707],"domain_scores_gemma":[0.9991581,0.0003406492,0.00009888133,0.0001493105,0.00009712564,0.0001559247],"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":[0.005884647,0.002571009,0.3376606,0.00528018,0.0007612461,0.0001652909,0.007837989,0.00008258396,0.4977578,0.01706066,0.001704012,0.123234],"study_design_scores_gemma":[0.006164444,0.001219435,0.008249476,0.00124714,0.0004005831,0.0002354589,0.0009697838,0.0006711222,0.8947392,0.000360336,0.08510645,0.000636594],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994003,0.0007344591,0.0002610804,0.001755912,0.00002628062,0.0001860823,0.00009544906,0.00002291795,0.002914809],"genre_scores_gemma":[0.9956816,0.002636013,0.0002752915,0.00008973713,0.00003121304,0.00006720463,0.00001187756,0.00001966862,0.001187419],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3969814,"threshold_uncertainty_score":0.3360137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00822336955905474,"score_gpt":0.233751369720473,"score_spread":0.2255280001614183,"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."}}