{"id":"W2039432104","doi":"10.1016/j.ijhydene.2012.07.046","title":"Highly active electrocatalysts for oxygen reduction from carbon-supported copper-phthalocyanine synthesized by high temperature treatment","year":2012,"lang":"en","type":"article","venue":"International Journal of Hydrogen Energy","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":87,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Catalysis; Rotating disk electrode; Chemistry; Phthalocyanine; Linear sweep voltammetry; X-ray photoelectron spectroscopy; Copper; Electrolyte; Pyrolysis; Carbon fibers; Thermal decomposition; Inorganic chemistry; Oxygen; Thermal treatment; Cyclic voltammetry; Chemical engineering; Materials science; Electrochemistry; Electrode; Physical chemistry; Organic chemistry; Composite material; Composite number","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001337326,0.0003961713,0.0003818319,0.0002873473,0.0001785125,0.000297284,0.0004589788,0.0004405057,0.0009210961],"category_scores_gemma":[0.0002495859,0.0002454401,0.0002028618,0.0002583392,0.0002619777,0.000376045,0.000233159,0.000553896,0.0002386889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003720148,"about_ca_system_score_gemma":0.0002035092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005502459,"about_ca_topic_score_gemma":0.002086833,"domain_scores_codex":[0.9998257,0.00001129903,0.000009090167,0.00003542673,0.00007295338,0.00004568977],"domain_scores_gemma":[0.9999334,0.00001501761,0.00001653036,0.000008571103,0.00001360934,0.00001290371],"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":[0.00003458511,0.00001271055,0.00004574657,0.00007305946,0.000004880528,0.00004602919,0.00002299758,0.00006289057,0.9978012,0.0001396556,0.0001082239,0.001647888],"study_design_scores_gemma":[0.000007009807,0.00003305527,0.0004341343,0.000001646033,0.000004492617,0.00004155743,0.000006474053,0.000474118,0.9983077,0.00002213969,0.0006644748,0.000003080871],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9880777,0.001717285,0.006442049,0.0001518238,0.0001089343,0.00004723671,0.0002712831,0.0003085889,0.002875082],"genre_scores_gemma":[0.9948388,0.0003641305,0.002365885,0.00002821571,0.00001289975,0.00001647892,0.0001882477,0.00004304405,0.002142253],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009210961,"threshold_uncertainty_score":0.003081381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006966440673686299,"score_gpt":0.2304577850048518,"score_spread":0.2234913443311655,"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."}}