{"id":"W4319755378","doi":"10.1016/j.dib.2023.108953","title":"Dataset of methane pyrolysis products in a batch reactor as a function of time at high temperatures and pressures","year":2023,"lang":"en","type":"article","venue":"Data in Brief","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; University of Alberta","funders":"Canada First Research Excellence Fund","keywords":"Methane; Hydrogen; Chemistry; Carbon dioxide; Pyrolysis; Volume (thermodynamics); Batch reactor; Analytical Chemistry (journal); Quartz; Materials science; Catalysis; Chromatography; Organic chemistry; Thermodynamics; 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":[0.0002290374,0.00009029564,0.0002032222,0.0001463949,0.000004376247,0.000006781018,0.0002523404,0.00006204765,0.0001074589],"category_scores_gemma":[0.0003738173,0.0000862375,0.000006520466,0.0005879686,0.00004115996,0.0002196948,0.0003089644,0.00007561634,0.00001704823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001222134,"about_ca_system_score_gemma":0.00001325671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003410375,"about_ca_topic_score_gemma":0.0000459237,"domain_scores_codex":[0.9992445,0.0000229167,0.0002234068,0.0002509738,0.000141835,0.0001163996],"domain_scores_gemma":[0.9992184,0.0001185307,0.00004197882,0.0005737198,0.00002154319,0.0000258218],"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":[0.0001068596,0.00002032944,0.0006335769,0.0004104613,0.00003540907,0.000007287998,0.00006610232,0.00001798915,0.959341,0.000005016268,0.03883826,0.0005176581],"study_design_scores_gemma":[0.0004587358,0.00002866542,0.007250097,0.00007669414,0.00003260231,0.000002332673,0.00002266458,0.0002343984,0.9794618,0.00005625179,0.01225699,0.0001187377],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902911,0.0005481889,6.522086e-7,0.00008596387,0.00004217504,0.0001120491,0.008862783,0.00004353419,0.00001356191],"genre_scores_gemma":[0.9811147,0.0001631907,0.000105257,0.00001260273,0.00001518862,0.000007573399,0.01852494,0.00001378771,0.00004271021],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02658127,"threshold_uncertainty_score":0.3516663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01407428538234469,"score_gpt":0.2286729249371894,"score_spread":0.2145986395548447,"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."}}