{"id":"W3201799362","doi":"10.11575/prism/38288","title":"Harvesting Human Energy","year":2020,"lang":"en","type":"article","venue":"Open MIND","topic":"Global Energy and Sustainability Research","field":"Energy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":[],"category_scores_codex":[0.0001850061,0.000101598,0.0001534046,0.00001456758,0.0001980832,0.0002342147,0.0006573591,0.00006729573,0.007299586],"category_scores_gemma":[0.0002698136,0.0000967934,0.00004473005,0.0002494161,0.00006421976,0.0002290749,0.0004995902,0.0001178945,0.000430319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004096781,"about_ca_system_score_gemma":0.00008492419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006277728,"about_ca_topic_score_gemma":0.001523694,"domain_scores_codex":[0.9988937,0.0001082851,0.0001775301,0.0003308298,0.0001762703,0.0003133657],"domain_scores_gemma":[0.9993998,0.00003974775,0.00003087127,0.0002261596,0.00007645364,0.0002269392],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008565749,0.00009157759,0.000840862,0.00001466134,0.00004481166,0.0001740186,0.0009210446,0.003756375,0.006645389,0.1291499,0.001391155,0.8568845],"study_design_scores_gemma":[0.0003720102,0.0001049172,0.0001981854,0.00000664173,0.000005273921,0.000002965182,0.0004779,0.0009796896,0.00859819,0.003609991,0.9854881,0.0001561506],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2734554,0.00002995767,0.00007595707,0.002167541,0.00002608956,0.00007063933,0.000002904292,0.000006024232,0.7241655],"genre_scores_gemma":[0.9763484,0.000001159876,0.0009734198,0.0004126873,0.0001206021,0.00001089663,0.00002286959,0.0000129143,0.02209702],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9840969,"threshold_uncertainty_score":0.9936079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0824178712295074,"score_gpt":0.3449803798948116,"score_spread":0.2625625086653042,"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."}}