{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002862183,0.0001021368,0.0001698687,0.0000453726,0.0002240636,0.00001273018,0.0001068777,0.00005405427,0.0001947859],"category_scores_gemma":[0.001753917,0.00006332902,0.00007659999,0.00009993576,0.0002199981,0.0001213841,0.00009243643,0.00004245376,0.0001289063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000158305,"about_ca_system_score_gemma":0.00002725333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001005716,"about_ca_topic_score_gemma":0.0001293833,"domain_scores_codex":[0.9990372,0.00005006666,0.0001457846,0.0002625725,0.0001634939,0.000340875],"domain_scores_gemma":[0.9990764,0.0001435078,0.00002510183,0.0002336137,0.0004767952,0.000044601],"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":[0.0001799843,0.00006438093,0.0009165604,0.00009650976,0.0002318973,0.000002456235,0.000408712,0.0001056939,0.000860155,0.1415842,0.7844344,0.07111508],"study_design_scores_gemma":[0.0003547522,0.0001219332,0.0004943047,0.000007248758,0.00001050489,9.784162e-7,0.0007976165,0.00001016264,0.0008050049,0.04933684,0.9479633,0.00009733412],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4242049,0.01096612,0.005957702,0.4234737,0.06474184,0.002569044,0.0001168343,0.001828253,0.06614157],"genre_scores_gemma":[0.8631075,0.0002242518,0.0002875362,0.00008396359,0.02946397,0.0002912967,0.000006114839,0.0000231462,0.1065122],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4389026,"threshold_uncertainty_score":0.2582482,"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."}}