{"id":"W4405809320","doi":"10.1007/s10668-024-05835-4","title":"Incentive coordination for effective sharing of low-carbon technology innovation","year":2024,"lang":"en","type":"article","venue":"Environment Development and Sustainability","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Group for Research in Decision Analysis; HEC Montréal","funders":"National Social Science Fund of China","keywords":"Incentive; Sustainable development; Business; Environmental economics; Industrial organization; Natural resource economics; Economics; Microeconomics; Political science","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":[0.009491055,0.0005493192,0.00152543,0.0007609697,0.001209943,0.003567104,0.002173297,0.004895711,0.02214617],"category_scores_gemma":[0.0420875,0.0006322755,0.0008845048,0.0007897613,0.001979199,0.005364889,0.003830923,0.002846747,0.001205669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002649033,"about_ca_system_score_gemma":0.005227306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001885765,"about_ca_topic_score_gemma":0.001402253,"domain_scores_codex":[0.9950879,0.002179232,0.0003165623,0.000646389,0.0007699954,0.000999875],"domain_scores_gemma":[0.9692946,0.02071319,0.003633877,0.002690448,0.001603544,0.002064291],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005374288,0.0005108754,0.001915765,0.0002943637,0.00009770278,0.0002678089,0.0002774502,0.1142133,0.002990177,0.8286182,0.007454487,0.04282246],"study_design_scores_gemma":[0.0003022746,0.0001544529,0.001429798,0.0000366375,0.00003618573,0.00009163511,0.0001278152,0.1883871,0.001084915,0.8041858,0.004126926,0.00003631901],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3295367,0.0007254345,0.5505734,0.01104404,0.0006409298,0.0008680079,0.0005305641,0.0008851928,0.1051958],"genre_scores_gemma":[0.982768,0.00008336046,0.01291198,0.0001884577,0.00009020956,0.0001389209,0.00003286007,0.00002136277,0.003764881],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02214617,"threshold_uncertainty_score":0.07408631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02168485842664608,"score_gpt":0.2352908402385873,"score_spread":0.2136059818119412,"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."}}