{"id":"W2970813208","doi":"10.1002/cctc.201901187","title":"Meet the <i>Women of Catalysis</i>","year":2019,"lang":"en","type":"article","venue":"ChemCatChem","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Technische Universität München; Universidade Federal do Rio Grande do Sul; University of Alberta","keywords":"Visibility; Catalysis; Representation (politics); Resource (disambiguation); Field (mathematics); Political science; Engineering ethics; Nanotechnology; Chemistry; Engineering; Computer science; Organic chemistry; Materials science; Physics","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":[0.003635057,0.000974846,0.0005909489,0.0009810284,0.004592165,0.008372112,0.0008753351,0.003716848,0.07152214],"category_scores_gemma":[0.007449659,0.0004700074,0.0006142371,0.0005681371,0.001851274,0.003583386,0.005619725,0.005383245,0.03213286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002286131,"about_ca_system_score_gemma":0.003125616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001821568,"about_ca_topic_score_gemma":0.003770431,"domain_scores_codex":[0.9974763,0.000519956,0.00007338847,0.0003660871,0.0008939754,0.0006703795],"domain_scores_gemma":[0.9941511,0.0005570935,0.0004279657,0.0002249246,0.001310491,0.003328422],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007647451,0.00002258707,0.0005620378,0.00008894774,0.000007231424,0.0001321616,0.0007923577,0.00001585617,0.002924129,0.005395699,0.9717959,0.01818653],"study_design_scores_gemma":[0.000006633453,0.00002941979,0.0002930796,0.00005541763,0.000004069344,0.0001738455,0.0008467519,0.00002916168,0.0007940363,0.001209292,0.9965467,0.0000115838],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.008459684,0.01118019,0.003397912,0.639492,0.1807889,0.0001806808,0.000861457,0.0008462956,0.1547928],"genre_scores_gemma":[0.07175726,0.00774072,0.002509485,0.1709149,0.07950746,0.0002440063,0.0005721046,0.0009734107,0.6657806],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.07152214,"threshold_uncertainty_score":0.2392654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004026645863460531,"score_gpt":0.1855359205926361,"score_spread":0.1815092747291756,"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."}}