{"id":"W2981563106","doi":"10.1021/acsenergylett.9b02290","title":"Energy Spotlight","year":2019,"lang":"en","type":"article","venue":"ACS Energy Letters","topic":"Energy and Environment Impacts","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Environmental science; Materials science; Engineering physics; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00007870195,0.0002017501,0.0001478283,0.00003808704,0.00007631953,0.00002502788,0.0003249173,0.00008416305,0.005698462],"category_scores_gemma":[0.000003822668,0.0001818825,0.00006951992,0.0001652551,0.0001088737,0.0003070518,0.0001920055,0.00007750869,0.002055021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001330876,"about_ca_system_score_gemma":0.000003047728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000830958,"about_ca_topic_score_gemma":0.0000877726,"domain_scores_codex":[0.9986302,0.00004547226,0.0001600559,0.00037699,0.0003351756,0.0004520598],"domain_scores_gemma":[0.9992971,0.00003036566,0.00006052067,0.0004619581,9.945263e-7,0.0001490042],"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":[0.00004567347,0.0001374804,0.03755645,0.000004403012,0.00006121563,0.00008504935,0.0001673692,0.1302023,0.6835073,0.01204399,0.1161764,0.02001232],"study_design_scores_gemma":[0.0004281508,0.0000539884,0.02747523,0.000008632211,0.00001273503,0.00001850081,0.00001238234,0.000219851,0.05576503,0.0003899143,0.9151543,0.0004612808],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9187579,0.0000335066,0.000908683,0.003054213,0.000334122,0.0000226661,0.000001290718,0.00008242245,0.07680515],"genre_scores_gemma":[0.964817,0.00005224153,0.0002302314,0.02377432,0.0000866532,0.00000919099,0.00001797317,0.00003270778,0.01097961],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7989779,"threshold_uncertainty_score":0.998722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003149215461287584,"score_gpt":0.1581124432881342,"score_spread":0.1549632278268466,"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."}}