{"id":"W7067540148","doi":"","title":"Marshall University uses Second Wind’s solutions to plan clean energy futures","year":2011,"lang":"en","type":"other","venue":"Alternative Energy","topic":"Protist diversity and phylogeny","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Futures contract; Plan (archaeology); Clean energy; Energy (signal processing); Clean technology","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":[0.000868582,0.0007096748,0.0002488462,0.001277049,0.002114864,0.003920799,0.0007163546,0.002244422,0.1306587],"category_scores_gemma":[0.001545639,0.0002293477,0.0004781525,0.0007769684,0.0005127745,0.001844875,0.001935072,0.001867932,0.01299227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00382865,"about_ca_system_score_gemma":0.004260706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04482771,"about_ca_topic_score_gemma":0.156913,"domain_scores_codex":[0.999665,0.000035037,0.00000773091,0.00003547053,0.0001815641,0.00007507357],"domain_scores_gemma":[0.9995126,0.00007693624,0.00002368134,0.00005248162,0.000151538,0.000182781],"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":[0.00006825297,0.0001042272,0.001486337,0.0000973725,0.0000195814,0.0003792465,0.0003058344,0.001918136,0.001143098,0.1124124,0.6500528,0.2320127],"study_design_scores_gemma":[0.0000094055,0.00001310998,0.0004883891,0.00004307329,0.000003983352,0.00003854854,0.0001580099,0.001240907,0.0006997378,0.006165946,0.9911276,0.00001127801],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005007836,0.001455521,0.005347579,0.01446009,0.001330453,0.00008767782,0.0009173012,0.0009613436,0.9704321],"genre_scores_gemma":[0.01073798,0.0005388914,0.002445931,0.0003768449,0.00007673356,0.00003067831,0.0001860743,0.0001478844,0.985459],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1306587,"threshold_uncertainty_score":0.4370968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01987316407340424,"score_gpt":0.2058657554562729,"score_spread":0.1859925913828687,"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."}}