{"id":"W2791099829","doi":"10.1080/00207233.2018.1406708","title":"Energy and Natural Resources","year":2018,"lang":"en","type":"article","venue":"International Journal of Environmental Studies","topic":"Global Energy and Sustainability Research","field":"Energy","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Natural (archaeology); Energy (signal processing); Environmental science; Natural resource; Natural resource economics; Economics; Geography; Physics; Ecology","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":[0.000157551,0.00008446247,0.0001312855,0.00008009926,0.00008786248,0.00002645928,0.0002231653,0.00002702547,0.0001450931],"category_scores_gemma":[0.000103695,0.00006347222,0.00005953203,0.00003111777,0.0005482594,0.0001514719,0.0002321605,0.00007803874,0.000006355592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001716633,"about_ca_system_score_gemma":0.000007476181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000747415,"about_ca_topic_score_gemma":0.00009673141,"domain_scores_codex":[0.9990586,0.00005091772,0.0002283387,0.00009952207,0.000434192,0.0001284169],"domain_scores_gemma":[0.9996042,0.00008096787,0.000100101,0.00005550553,0.0001071253,0.00005208018],"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":[0.002143558,0.000590339,0.04119213,0.00001830726,0.004318548,0.000722557,0.00755304,0.0002299571,0.01803899,0.05152532,0.003756986,0.8699103],"study_design_scores_gemma":[0.001763436,0.000846644,0.07314283,0.00006617591,0.00004377488,0.0006481369,0.01129603,0.0001683786,0.007508769,0.04662215,0.8575953,0.0002983633],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989107,0.005925955,0.00001327223,0.001183359,0.000634312,0.00001184439,0.000003053394,0.000004949224,0.003116234],"genre_scores_gemma":[0.9963031,0.001406392,0.0001174719,0.0002704907,0.0006126345,0.000001002803,7.788389e-7,0.000005656451,0.00128248],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8696119,"threshold_uncertainty_score":0.2588322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01109781700792023,"score_gpt":0.2826071791065631,"score_spread":0.2715093620986428,"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."}}