{"id":"W4394962018","doi":"10.1038/s41557-024-01513-0","title":"Assembling the pieces to improve catalysis","year":2024,"lang":"en","type":"article","venue":"Nature Chemistry","topic":"CO2 Reduction Techniques and Catalysts","field":"Energy","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Chemistry; Catalysis; Nanotechnology; Hydrogen molecule; Hydrogen; Combinatorial chemistry; Organic chemistry","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":[0.0007537061,0.001589207,0.001450451,0.001390374,0.0009412011,0.001866628,0.001337733,0.001611456,0.01332984],"category_scores_gemma":[0.00190422,0.001085185,0.00101549,0.001318624,0.0009011165,0.003527266,0.001789402,0.003766589,0.009083286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004142891,"about_ca_system_score_gemma":0.0005256853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005506796,"about_ca_topic_score_gemma":0.001290854,"domain_scores_codex":[0.9991454,0.00006482072,0.00007853322,0.0002103238,0.0003338424,0.0001671512],"domain_scores_gemma":[0.9990062,0.0001618421,0.0001088661,0.0003972638,0.0002276019,0.00009825635],"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":[0.0001940333,0.0001866698,0.0005967052,0.001080504,0.00009969072,0.0002552272,0.0002646419,0.002281655,0.9012159,0.006638659,0.004787631,0.08239865],"study_design_scores_gemma":[0.0000701934,0.0004858338,0.001366096,0.000159081,0.0001646764,0.0002937847,0.0004047638,0.007584412,0.8553776,0.006327898,0.1276795,0.00008624192],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4070724,0.02485611,0.4655972,0.005100836,0.01321521,0.0009079981,0.001484846,0.01048988,0.07127552],"genre_scores_gemma":[0.635269,0.01338428,0.2924961,0.002619041,0.001511901,0.0007588732,0.002098099,0.003544787,0.04831797],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01332984,"threshold_uncertainty_score":0.04459274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00450038193716043,"score_gpt":0.2648175585452613,"score_spread":0.2603171766081008,"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."}}