{"id":"W2981573289","doi":"10.1021/acs.organomet.9b00563","title":"An Information-Rich Graphical Representation of Catalytic Cycles","year":2019,"lang":"en","type":"article","venue":"Organometallics","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Chemistry; Catalytic cycle; Catalysis; Representation (politics); Population; Reaction rate constant; Graphical user interface; Annotation; Kinetics; Computer science; Programming language; Organic chemistry; Artificial intelligence","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":[0.0004390635,0.001376185,0.000478035,0.002518497,0.0003490662,0.002191284,0.001034558,0.0008826871,0.03732178],"category_scores_gemma":[0.00220497,0.0003430793,0.0007324224,0.001417979,0.000347554,0.001998171,0.0009558594,0.001087327,0.006823234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003338935,"about_ca_system_score_gemma":0.000464296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001411752,"about_ca_topic_score_gemma":0.001980069,"domain_scores_codex":[0.9997169,0.00008124485,0.00002709452,0.00006033006,0.00008677087,0.00002765517],"domain_scores_gemma":[0.9990879,0.0004147404,0.00009257286,0.000146392,0.0001957537,0.00006254612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001427744,0.0003783195,0.002571194,0.002180719,0.0002036824,0.001721954,0.001178806,0.08619292,0.106747,0.2476607,0.2044899,0.3452471],"study_design_scores_gemma":[0.0001867487,0.00019476,0.002335225,0.0003844311,0.000172838,0.001071323,0.0001707138,0.3147397,0.03753875,0.1418819,0.5011337,0.000189929],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01039195,0.0007333663,0.8888374,0.0008960575,0.0004325162,0.0001491999,0.02191896,0.05605014,0.02059053],"genre_scores_gemma":[0.2157326,0.002173444,0.7183453,0.000924357,0.0003326264,0.0007029341,0.02725593,0.005689671,0.02884307],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03732178,"threshold_uncertainty_score":0.1248538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008432823466653413,"score_gpt":0.2653788683581322,"score_spread":0.2569460448914788,"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."}}