{"id":"W2112686536","doi":"10.5539/eer.v1n1p175","title":"Innovation and Technology Management in Wind Energy Cluster","year":2011,"lang":"en","type":"article","venue":"Energy and Environment Research","topic":"Innovation Diffusion and Forecasting","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundação de Amparo à Pesquisa e ao Desenvolvimento Científico e Tecnológico do Maranhão; Universidade de Aveiro","keywords":"Wind power; Incentive; Energy security; Environmental economics; Cluster (spacecraft); Field (mathematics); Computer science; Value (mathematics); Energy management; Industrial organization; Business; Power (physics); Energy (signal processing); Risk analysis (engineering); Renewable energy; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002673305,0.00008401839,0.0001101986,0.001851938,0.0001775636,0.00005228849,0.0002076792,0.0001062592,0.0006298783],"category_scores_gemma":[0.0001263239,0.00006609637,0.000007586946,0.001813287,0.0003087343,0.0001414568,0.0005633421,0.0001360839,0.00002132487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003126958,"about_ca_system_score_gemma":0.000007034083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006473966,"about_ca_topic_score_gemma":0.00002953491,"domain_scores_codex":[0.9981245,0.0001322787,0.0003797103,0.0004006254,0.0006865629,0.0002763264],"domain_scores_gemma":[0.9994701,0.0001133405,0.0000593549,0.0002642699,0.0000550015,0.00003798991],"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":[0.00003204623,0.00006413722,0.01253053,0.000001788514,0.000005595463,0.00001561217,0.0002228921,0.000009087545,0.0003831812,0.5060002,0.0007815454,0.4799534],"study_design_scores_gemma":[0.001248187,0.0001985769,0.08810552,0.00002467336,0.000002565071,0.00001908063,0.002797236,0.004587879,0.00284594,0.5319135,0.3679889,0.0002678974],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8979619,0.0001684594,0.003415399,0.001828209,0.00006003984,0.0000851528,8.394e-7,0.00001564964,0.0964644],"genre_scores_gemma":[0.9860039,0.0003051335,0.0008782702,0.0002102513,0.00001778726,0.00001958495,0.000002811442,0.000006465249,0.01255574],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4796855,"threshold_uncertainty_score":0.6896726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1558746193737564,"score_gpt":0.3566615402209807,"score_spread":0.2007869208472242,"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."}}