{"id":"W7054471037","doi":"","title":"Ameresco Helps Generate Green Revenue for Two Ontario School Boards<AMRC.N>","year":2014,"lang":"en","type":"other","venue":"","topic":"Laser Design and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Revenue; Work (physics); Government (linguistics); Sustainability","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009168556,0.0006068303,0.0003970242,0.001601095,0.00574621,0.002869981,0.000889896,0.001509227,0.5580764],"category_scores_gemma":[0.002763495,0.0005183724,0.0003364856,0.001124255,0.001081885,0.001382314,0.001521039,0.001791166,0.258436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01091141,"about_ca_system_score_gemma":0.02309988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4627663,"about_ca_topic_score_gemma":0.8352191,"domain_scores_codex":[0.9985963,0.00005428982,0.00002010182,0.0001119343,0.0009196484,0.000297856],"domain_scores_gemma":[0.9935601,0.0002349018,0.0001186639,0.000243152,0.004190352,0.001652781],"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":[0.00004486947,0.00003268931,0.000570862,0.00003848346,0.000001697413,0.00005479361,0.0001094592,0.00005767253,0.0006387269,0.003445849,0.9654696,0.0295353],"study_design_scores_gemma":[0.000008384571,0.000009175144,0.001288144,0.00001752787,0.000002010894,0.00003547886,0.0001785025,0.0001805324,0.0003766061,0.0002438832,0.9976539,0.000005854227],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002570924,0.0002427289,0.001521205,0.006075053,0.0009072539,0.0001581659,0.003054881,0.001863793,0.983606],"genre_scores_gemma":[0.004833148,0.0001223921,0.0005443554,0.0003136514,0.00003850526,0.00001721453,0.0005418418,0.0003511483,0.9932377],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4627663,"threshold_uncertainty_score":0.9201455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03060122808889235,"score_gpt":0.2584373374257156,"score_spread":0.2278361093368232,"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."}}