{"id":"W4390603765","doi":"10.1007/s11356-023-31628-9","title":"Prediction of photovoltaic waste generation in Canada using regression-based model","year":2024,"lang":"en","type":"article","venue":"Environmental Science and Pollution Research","topic":"Photovoltaic Systems and Sustainability","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"","keywords":"Photovoltaic system; Environmental science; Linear regression; Regression analysis; Environmental economics; Volume (thermodynamics); Engineering; Computer science; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002314167,0.0000868311,0.0000946023,0.0001640574,0.0002959123,0.00003779621,0.0001529185,0.00003903854,0.0001963991],"category_scores_gemma":[0.00006287627,0.0000716533,0.00001699725,0.0008123951,0.0008941878,0.0003744887,0.0001573377,0.0001690798,0.000004150597],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00610896,"about_ca_system_score_gemma":0.001259122,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7436315,"about_ca_topic_score_gemma":0.2956301,"domain_scores_codex":[0.997477,0.0001082488,0.0002342215,0.0004215706,0.001389428,0.0003695239],"domain_scores_gemma":[0.9996161,0.00002835039,0.00002782683,0.0001873124,0.000008642912,0.0001316962],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000760227,0.00002065612,0.03597212,0.0000184479,7.680632e-7,0.000005305286,0.0002053208,0.1050947,0.8565766,0.0000094053,0.0005543303,0.001534847],"study_design_scores_gemma":[0.00009312514,0.00002718533,0.02889914,0.00002927353,0.000001334043,0.000002715777,0.0007131233,0.9115211,0.05820026,0.00008335099,0.0003710541,0.0000583459],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988559,0.0001472732,0.0001733698,0.00007740897,0.00007924496,0.0003186575,0.00004578365,0.000005177381,0.0002971309],"genre_scores_gemma":[0.9996727,0.00002183816,0.0001162464,0.00002955917,0.00002022233,0.00001913539,0.000004366267,0.000005371779,0.0001106315],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8064264,"threshold_uncertainty_score":0.9977064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06092636215821453,"score_gpt":0.2998137816683852,"score_spread":0.2388874195101707,"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."}}