{"id":"W2131456559","doi":"10.1139/v02-024","title":"Hydrogénation électrocatalytique sur des catalyseurs composites de nickel et hydroxyde d'aluminium en cellule dynamique","year":2002,"lang":"en","type":"article","venue":"Canadian Journal of Chemistry","topic":"Nanomaterials for catalytic reactions","field":"Chemistry","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Chemistry; Cyclohexanol; Cyclohexanone; Nickel; Yield (engineering); Electrocatalyst; Aluminium; Inorganic chemistry; Hydroxide; Catalysis; Oxide; Nuclear chemistry; Electrochemistry; Physical chemistry; Metallurgy; Organic chemistry; Materials science; Electrode","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003544669,0.0002718781,0.0003542,0.0001218346,0.0001650791,0.0001431984,0.0005533556,0.0002977724,0.001396439],"category_scores_gemma":[0.0003668451,0.0002998383,0.0002251241,0.0001774164,0.0001962668,0.000364236,0.00002248765,0.0005249316,0.00003383014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001302429,"about_ca_system_score_gemma":0.001002799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002612086,"about_ca_topic_score_gemma":0.002472325,"domain_scores_codex":[0.9983563,0.00003216196,0.0006138235,0.000228866,0.0002149658,0.000553841],"domain_scores_gemma":[0.9979609,0.0001495619,0.0004300679,0.0003791416,0.0002145868,0.0008657606],"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":[0.000008757581,0.00005318477,0.002278925,0.0001766013,0.0001051096,0.0002262783,0.0006533227,0.000152321,0.9946168,0.00001097455,0.00147922,0.0002384974],"study_design_scores_gemma":[0.0004771479,0.00001668763,0.0002713663,0.0001528936,0.00008016204,0.002649249,0.0001744673,0.0009021321,0.9912464,0.0002893739,0.003451899,0.000288229],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9785905,0.0005751119,0.000168118,0.0005072434,0.000102401,0.00003925469,0.0001061114,0.00003236872,0.01987885],"genre_scores_gemma":[0.9961917,0.00009310041,0.0003413275,0.0000761233,0.0002877312,0.000006522207,0.0001448373,0.00005951225,0.002799102],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01760121,"threshold_uncertainty_score":0.9999454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01167916640001774,"score_gpt":0.2108786595045164,"score_spread":0.1991994931044986,"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."}}