{"id":"W4253971444","doi":"10.1002/celc.201901175","title":"Organic Electrosynthesis","year":2019,"lang":"en","type":"article","venue":"ChemElectroChem","topic":"Electrochemical Analysis and Applications","field":"Chemistry","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Electrosynthesis; Nanotechnology; Variety (cybernetics); Chemistry; Engineering ethics; Computer science; Engineering; Electrochemistry; Materials science; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00005797581,0.0002203486,0.0002819607,0.00004042202,0.00007599096,0.00003805667,0.0003917196,0.000141086,0.01130598],"category_scores_gemma":[0.00003192068,0.0002081377,0.0001839262,0.0004356401,0.00002673085,0.00006243258,0.00004789624,0.0003054223,0.002155998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001276103,"about_ca_system_score_gemma":0.0000598156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002843715,"about_ca_topic_score_gemma":0.000002981997,"domain_scores_codex":[0.9984897,0.00000422589,0.0002459281,0.0004803087,0.0002275746,0.0005523027],"domain_scores_gemma":[0.9991004,0.00007424154,0.00009166845,0.000563075,0.00005394906,0.0001166703],"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":[0.00001032438,0.00007385574,0.0006901379,0.00003359346,0.00006557822,3.786714e-7,0.00001641074,1.986669e-7,0.9961522,0.001265167,0.0006310339,0.001061181],"study_design_scores_gemma":[0.0001957303,0.00001430476,0.00001857337,0.000009799875,0.00004228159,0.000008233401,0.00001991164,0.000206336,0.9691794,0.001341393,0.0287047,0.0002593538],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9096025,0.0003178444,0.0002417326,0.0003198251,0.000007789739,0.00005394582,0.000001730439,0.0002307751,0.08922384],"genre_scores_gemma":[0.9873918,0.00006874558,0.0002637692,0.0002244796,0.0001485026,0.00005005597,0.00006350274,0.00004312523,0.01174603],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07778927,"threshold_uncertainty_score":0.9986209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002634693795222564,"score_gpt":0.1846921918740802,"score_spread":0.1820574980788576,"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."}}