{"id":"W3047571432","doi":"10.1021/acsenergylett.0c01622","title":"Energy Spotlight","year":2020,"lang":"en","type":"article","venue":"ACS Energy Letters","topic":"CO2 Reduction Techniques and Catalysts","field":"Energy","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Altmetrics; Citation; Bibliometrics; Library science; Computer science; Information retrieval; World Wide Web","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003608534,0.0002108174,0.0002090185,0.00007627471,0.00008541824,0.00004359186,0.0003251864,0.00009383558,0.0004257836],"category_scores_gemma":[0.00001211064,0.0002059579,0.0001370138,0.000357267,0.00005947217,0.0001430681,0.00009992984,0.00009956637,0.00007844861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000471166,"about_ca_system_score_gemma":0.00001693576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00176706,"about_ca_topic_score_gemma":0.00007277281,"domain_scores_codex":[0.9987535,0.00004395437,0.0002477647,0.0003954188,0.0002392491,0.0003200588],"domain_scores_gemma":[0.9993367,0.00002039915,0.00007744111,0.0003399919,0.00002928824,0.0001962406],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004510336,0.00003444066,0.00002746469,0.000009326342,0.00008832844,0.0001088846,0.0001807428,0.0005955326,0.4102407,0.226552,0.2633208,0.0987967],"study_design_scores_gemma":[0.0001423625,0.00002574462,0.00001679528,0.000004094539,0.00001342482,0.00001381796,0.00001464452,0.0001085414,0.2836919,0.0003968241,0.7153681,0.0002037768],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3215453,0.001916401,0.1256101,0.3355569,0.002711572,0.0001841957,0.00002932394,0.006966942,0.2054792],"genre_scores_gemma":[0.9398258,0.0001150142,0.000330066,0.05745125,0.0008985369,0.0000337006,0.00006181334,0.00005652541,0.001227332],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6182805,"threshold_uncertainty_score":0.8398719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01049007449497624,"score_gpt":0.202974569080833,"score_spread":0.1924844945858568,"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."}}