{"id":"W3037370508","doi":"10.3390/su12135231","title":"Framework for Risk Identification of Renewable Energy Projects Using Fuzzy Case-Based Reasoning","year":2020,"lang":"en","type":"article","venue":"Sustainability","topic":"Construction Project Management and Performance","field":"Decision Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Canada First Research Excellence Fund","keywords":"Identification (biology); Risk analysis (engineering); Renewable energy; Case-based reasoning; Fuzzy logic; Computer science; Engineering; Management science; Artificial intelligence; Business","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.003127325,0.0001226191,0.0002479891,0.0001902754,0.0003374941,0.0001442535,0.0003191486,0.0000858746,0.00006109376],"category_scores_gemma":[0.02070118,0.0001080841,0.0001470583,0.001498663,0.0001489144,0.000361135,0.00009829128,0.00009846802,0.000001408037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001746415,"about_ca_system_score_gemma":0.0005262552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001604833,"about_ca_topic_score_gemma":0.0001206374,"domain_scores_codex":[0.9976836,0.0002586904,0.0007651436,0.0005488768,0.000500088,0.0002435847],"domain_scores_gemma":[0.9960675,0.0009100828,0.000675885,0.0006064426,0.001662292,0.00007781851],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00131969,0.000216877,0.578587,0.001140154,0.00008041359,0.00004388058,0.00536738,0.1377662,0.0004616892,0.0748587,0.002827085,0.1973309],"study_design_scores_gemma":[0.0006111716,0.0001857393,0.003981712,0.00002244635,0.00007552791,0.00001095269,0.01047883,0.5647033,0.007106866,0.4017012,0.01082388,0.0002982818],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.426973,0.00003253719,0.5715748,0.0005509555,0.0001545209,0.0004767786,0.00002120254,0.00004110066,0.0001751061],"genre_scores_gemma":[0.9808171,0.000002021418,0.01880332,0.00006800104,0.00008836396,0.00004400734,0.000003587291,0.000009043464,0.0001645418],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5746053,"threshold_uncertainty_score":0.9875479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0939513635622976,"score_gpt":0.3831462581318312,"score_spread":0.2891948945695336,"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."}}