{"id":"W4386034573","doi":"10.1016/j.xcrp.2023.101548","title":"Base metal chemistry and catalysis","year":2023,"lang":"en","type":"article","venue":"Cell Reports Physical Science","topic":"CO2 Reduction Techniques and Catalysts","field":"Energy","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada; American Chemical Society Petroleum Research Fund; Canada Foundation for Innovation; Council of Ontario Universities; University of Windsor","keywords":"Catalysis; Base metal; Chemistry; Metal; Base (topology); Organic chemistry; Materials science; Metallurgy; Mathematics","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":[0.001891997,0.0007581991,0.0006156781,0.001030889,0.002165057,0.005689774,0.001949042,0.005504561,0.008286777],"category_scores_gemma":[0.001640103,0.0003057483,0.0005402376,0.0006519383,0.009986271,0.006062333,0.002792234,0.005621273,0.002635345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004239217,"about_ca_system_score_gemma":0.001956011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002139628,"about_ca_topic_score_gemma":0.002714362,"domain_scores_codex":[0.9982176,0.0006001,0.00005852256,0.0002876782,0.0005636361,0.0002723433],"domain_scores_gemma":[0.9994131,0.0002936133,0.0000451901,0.00007952391,0.00009941124,0.00006922619],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001596107,0.00001526247,0.0000643598,0.000246719,0.000006966548,0.0001387146,0.0004753308,0.0002000818,0.001946295,0.9710456,0.01130725,0.01453751],"study_design_scores_gemma":[0.000005780872,0.00002623257,0.00008539882,0.0002283857,0.000005623854,0.0002971184,0.0006119428,0.0002534566,0.002200242,0.4804298,0.5158445,0.00001151959],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.007498323,0.32202,0.02065269,0.1504854,0.009696221,0.00005014207,0.00008931626,0.0001510668,0.4893568],"genre_scores_gemma":[0.47287,0.3039146,0.01682693,0.0691682,0.01276565,0.0001750955,0.0001355727,0.0002396199,0.1239044],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008286777,"threshold_uncertainty_score":0.03075778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008866930376713295,"score_gpt":0.2467402402056829,"score_spread":0.2378733098289696,"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."}}