{"id":"W4400010949","doi":"10.18543/sbem3499","title":"Incentives for investment in clean technologies","year":2024,"lang":"en","type":"report","venue":"Cuadernos Orkestra","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universidad de Deusto; University of Toronto; Eusko Jaurlaritza","keywords":"Incentive; Investment (military); Business; Clean technology; Environmental economics; Economics; Microeconomics; Political science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007688818,0.0004285048,0.0009765798,0.0008779965,0.00005504261,0.0001810769,0.0004806503,0.0007867242,0.0001285483],"category_scores_gemma":[0.000416194,0.0005107705,0.0003308486,0.000244418,0.0001246534,0.0001492334,0.0002152572,0.0005873032,0.0007698005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00099547,"about_ca_system_score_gemma":0.0001829785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006113184,"about_ca_topic_score_gemma":0.0005645647,"domain_scores_codex":[0.9971699,0.000005667523,0.001197227,0.000937125,0.00005021137,0.0006399368],"domain_scores_gemma":[0.9987119,0.00009974663,0.0005330253,0.0005556741,0.00003546021,0.00006423506],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007224434,0.0005773277,0.03273656,0.007217749,0.000786401,0.0001431954,0.002519241,0.0000494545,0.00001717824,0.7259496,0.190937,0.03899408],"study_design_scores_gemma":[0.000367347,0.00007523185,0.001154633,0.0004789065,0.00002647877,0.0000121258,0.001326951,0.0002124677,0.0001478302,0.2618309,0.7336441,0.0007230676],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1210754,0.0957009,0.000298274,0.009616186,0.01079358,0.004034976,0.01183535,0.001256388,0.7453889],"genre_scores_gemma":[0.8818708,0.07198996,0.00220281,0.001126657,0.002208,0.002568911,0.001632395,0.0006897401,0.0357107],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7607954,"threshold_uncertainty_score":0.9997344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.207314581926559,"score_gpt":0.3202889288944555,"score_spread":0.1129743469678964,"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."}}