{"id":"W6983697919","doi":"","title":"New Report from NREL and CESA Explores Clean Energy Deployment Lessons Learned by States","year":2011,"lang":"en","type":"other","venue":"Alternative Energy","topic":"Sustainable Development and Policies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Software deployment; Clean energy; Clean technology; Key (lock); Renewable energy; Energy (signal processing)","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":[],"consensus_categories":[],"category_scores_codex":[0.002098685,0.0006577878,0.0003343054,0.001330806,0.001894546,0.00370972,0.001048557,0.002646168,0.03754626],"category_scores_gemma":[0.004298037,0.0003535869,0.0005691563,0.003557267,0.0005252839,0.002720521,0.001207366,0.002523577,0.00559496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004599984,"about_ca_system_score_gemma":0.01284732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1948828,"about_ca_topic_score_gemma":0.382937,"domain_scores_codex":[0.9989296,0.0001207847,0.00003075445,0.0000722672,0.0006547607,0.0001919133],"domain_scores_gemma":[0.9979012,0.0006372685,0.00009300662,0.000201812,0.001006603,0.0001600794],"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":[0.00009187535,0.0001530112,0.002205195,0.0001696918,0.00001098462,0.0001142901,0.0003383383,0.0007716648,0.0004712906,0.02443011,0.9040682,0.06717553],"study_design_scores_gemma":[0.00001560087,0.00001929233,0.006148303,0.00006613403,0.00001550975,0.00003970182,0.000892961,0.0004475548,0.001098727,0.003134579,0.9881008,0.00002080473],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0130563,0.001680645,0.002499039,0.04842164,0.002607698,0.0001530411,0.02069818,0.0008470806,0.9100365],"genre_scores_gemma":[0.04116704,0.003714577,0.004193245,0.009578288,0.0002774534,0.0002069431,0.009704401,0.0006187709,0.9305393],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1948828,"threshold_uncertainty_score":0.3874969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02474830998322307,"score_gpt":0.255064065666247,"score_spread":0.2303157556830239,"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."}}