{"id":"W1986738772","doi":"10.1016/j.jpowsour.2005.07.083","title":"Investigation of hydrogen production from boron compounds for pem fuel cells","year":2005,"lang":"en","type":"article","venue":"Journal of Power Sources","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada; Fuel Cells and Hydrogen Joint Undertaking; Niğde Üniversitesi; University of Ontario Institute of Technology","keywords":"Proton exchange membrane fuel cell; Hydrogen production; Boron; Fuel cells; Production (economics); Hydrogen; Materials science; Chemistry; Waste management; Environmental science; Chemical engineering; Engineering; Organic chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002859184,0.0002702284,0.0003854427,0.0003111692,0.0005258521,0.0005849975,0.0003586804,0.000602653,0.001705257],"category_scores_gemma":[0.0003738708,0.0001973067,0.0002280357,0.0002369766,0.0002896965,0.0006542076,0.000259248,0.0003686495,0.0003380721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005919295,"about_ca_system_score_gemma":0.0002638338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001732946,"about_ca_topic_score_gemma":0.001672289,"domain_scores_codex":[0.999836,0.00002177278,0.000005908921,0.00002254677,0.00006472477,0.000048998],"domain_scores_gemma":[0.999891,0.00004961397,0.00001139511,0.000007260904,0.00003098161,0.000009586807],"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":[0.00150447,0.00007921614,0.001064556,0.0003526186,0.00002008656,0.0002208503,0.00009747721,0.000593811,0.9901577,0.0006916696,0.0001494102,0.005068045],"study_design_scores_gemma":[0.00002458132,0.000350537,0.0008936089,0.000009695819,0.00001001122,0.00007225094,0.00008671411,0.0009796289,0.9961603,0.0000635063,0.001345458,0.000003730892],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914841,0.001775385,0.0009548134,0.0001033414,0.00001807225,0.00003041799,0.0002195252,0.00002387039,0.005390388],"genre_scores_gemma":[0.9970156,0.0008111717,0.0006072618,0.00001635437,0.000006002265,0.000008865655,0.000193063,0.00001225837,0.001329329],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001732946,"threshold_uncertainty_score":0.005704641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009432707192647475,"score_gpt":0.1926005771540168,"score_spread":0.1831678699613694,"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."}}