{"id":"W6974389976","doi":"10.5878/d66c-g016","title":"Rural Energy and Household Forest Values under Varying Management Regimes 2009.","year":2020,"lang":"en","type":"dataset","venue":"Swedish National Data Service","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Survey data collection; Sustainability; Sustainable development; Energy (signal processing); Section (typography); Rural development; Household income; Land Values","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006105208,0.0007769865,0.0005871999,0.000553287,0.0003438462,0.0005310374,0.003455101,0.0003057374,0.000185723],"category_scores_gemma":[0.0001336812,0.0008379982,0.00006862929,0.001173098,0.0001130133,0.001618039,0.005226486,0.0004765925,0.001454635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002626902,"about_ca_system_score_gemma":0.0002782653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002682291,"about_ca_topic_score_gemma":0.003753793,"domain_scores_codex":[0.9945813,0.0001800401,0.0007010081,0.001506843,0.002428666,0.0006021315],"domain_scores_gemma":[0.9964523,0.0003022595,0.0005605793,0.001990771,0.0003647373,0.0003293579],"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":[0.00009432802,0.0001253673,0.00001460768,0.0007007989,0.000663783,0.00007481149,0.000009643564,0.000591422,0.000003384704,0.003102543,0.9945638,0.00005550684],"study_design_scores_gemma":[0.001045655,0.00002244715,0.0009485219,0.0003350317,0.0005537396,0.00005428827,0.00012921,0.001665672,0.000001390054,0.006125979,0.9882558,0.0008622365],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001599369,0.0009234113,0.00004428083,0.002022143,0.0005211295,0.0003837531,0.9948961,0.0002579805,0.0009352009],"genre_scores_gemma":[0.0001101931,0.001528231,0.0007569068,0.01085175,0.001377261,0.00007571823,0.9849045,0.0001891616,0.00020632],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.009991652,"threshold_uncertainty_score":0.9994071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06311306378101837,"score_gpt":0.2882489820844147,"score_spread":0.2251359183033964,"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."}}