{"id":"W4414471520","doi":"10.1063/5.0267781","title":"Evaluation of price fluctuation risks in tradable green certificate market based on complex social network approach","year":2025,"lang":"en","type":"article","venue":"Journal of Renewable and Sustainable Energy","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Petro-Canada","funders":"Beijing Municipal Social Science Foundation","keywords":"Leverage (statistics); Certificate; Social network (sociolinguistics); Renewable energy; Price discovery; Complex network; Market price; Price mechanism; Government (linguistics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002246195,0.0004826993,0.0004119339,0.001203212,0.0003911872,0.001232444,0.0007645094,0.0007520076,0.001745996],"category_scores_gemma":[0.008026795,0.0001765026,0.0005951347,0.0007598179,0.0006552318,0.002433766,0.0007135464,0.0006264111,0.0000739851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001653039,"about_ca_system_score_gemma":0.0006227007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008474146,"about_ca_topic_score_gemma":0.004601019,"domain_scores_codex":[0.9989979,0.00047143,0.00004324524,0.0001392229,0.0002070451,0.0001411594],"domain_scores_gemma":[0.9949392,0.003366532,0.0007996958,0.0001642152,0.0005229048,0.0002074731],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003212163,0.0002484839,0.06355567,0.0001215715,0.0001433109,0.0005804158,0.0002905728,0.8903089,0.001787672,0.02641313,0.001229283,0.01499972],"study_design_scores_gemma":[0.00000672226,0.0000585305,0.004387597,0.0000046486,0.00001560896,0.00002711713,0.0001008487,0.9923123,0.0003231151,0.002626118,0.0001269249,0.00001044328],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9572826,0.0002570923,0.03666865,0.0005196682,0.00003191892,0.0000857089,0.0002186703,0.00005820754,0.004877463],"genre_scores_gemma":[0.9981033,0.00005517613,0.001400758,0.000009781956,0.000005347148,0.00001834108,0.00005458065,0.000002802671,0.0003499687],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008474146,"threshold_uncertainty_score":0.01684964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.050681262979843,"score_gpt":0.3036226190044282,"score_spread":0.2529413560245852,"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."}}