{"id":"W2963214812","doi":"10.1353/hms.2016.0002","title":"Editors' Introduction for Volume 42","year":2016,"lang":"en","type":"article","venue":"Hume studies","topic":"Global Energy and Sustainability Research","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Successor cardinal; Variety (cybernetics); Advice (programming); Library science; Editor in chief; Political science; Sociology; Management; Computer science; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002391523,0.002834541,0.002335617,0.005009348,0.002444963,0.009377757,0.003055682,0.003099079,0.4591169],"category_scores_gemma":[0.01239639,0.0008983903,0.001984133,0.00307662,0.0007050269,0.003992316,0.002831664,0.00443153,0.4387072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002187921,"about_ca_system_score_gemma":0.003411449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001800628,"about_ca_topic_score_gemma":0.002970667,"domain_scores_codex":[0.9967733,0.0002529774,0.0002600205,0.0004697856,0.001972517,0.0002714385],"domain_scores_gemma":[0.9893388,0.001068457,0.0007134987,0.000492343,0.006675639,0.001711194],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007064486,0.00000761002,0.0000137379,0.00006043563,0.000001267933,0.0000129661,0.000005855341,0.00001577006,0.00004883629,0.0002003745,0.9882275,0.01139854],"study_design_scores_gemma":[0.000005491803,0.000009481494,0.00008195926,0.0001182906,0.000002212509,0.0000295958,0.00001692146,0.00001991132,0.00002834112,0.0003550019,0.9993262,0.000006505986],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0002363445,0.01688875,0.001344335,0.02915569,0.7318798,0.0004729259,0.002347888,0.001985705,0.2156886],"genre_scores_gemma":[0.001341833,0.01241226,0.001409049,0.01866664,0.2183577,0.0003921298,0.00242222,0.001233597,0.7437646],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.4591169,"threshold_uncertainty_score":0.7715041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02637702650013599,"score_gpt":0.3161618030552909,"score_spread":0.2897847765551549,"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."}}