{"id":"W3000230857","doi":"10.1021/acsnano.9b00184","title":"Will Any Crap We Put into Graphene Increase Its Electrocatalytic Effect?","year":2020,"lang":"en","type":"article","venue":"ACS Nano","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":239,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"European Regional Development Fund","keywords":"Library science; Czech; Political science; Chemistry; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0008840035,0.0004896519,0.0003537445,0.0006382543,0.001069465,0.00194108,0.0006155115,0.002314044,0.1669555],"category_scores_gemma":[0.002322138,0.0002418444,0.0006433535,0.0005432275,0.0004734579,0.001556304,0.001016696,0.001906917,0.0650149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009706291,"about_ca_system_score_gemma":0.001071836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001193753,"about_ca_topic_score_gemma":0.002559651,"domain_scores_codex":[0.9992723,0.00006093266,0.00003041928,0.0000750304,0.0003491793,0.0002122538],"domain_scores_gemma":[0.9988433,0.0001352773,0.00007189884,0.0001220846,0.0005489332,0.0002784508],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004202301,0.0002145409,0.00117146,0.0004236985,0.00003405879,0.000375295,0.0001240621,0.0001052202,0.02868554,0.009681604,0.8238273,0.1349371],"study_design_scores_gemma":[0.00005137533,0.0001712671,0.000853652,0.00008180703,0.00003914442,0.0002634527,0.0002114532,0.0001196553,0.03168213,0.002389393,0.9641073,0.00002929308],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0308132,0.02866524,0.004513949,0.2221161,0.09404636,0.0004713207,0.004791104,0.001805616,0.6127771],"genre_scores_gemma":[0.1385834,0.0358782,0.005070502,0.04530673,0.01074383,0.0002941613,0.003967411,0.0008115844,0.7593441],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1669555,"threshold_uncertainty_score":0.5585217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006576197008201982,"score_gpt":0.2110974578947987,"score_spread":0.2045212608865967,"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."}}