{"id":"W3196606717","doi":"10.3390/en14175421","title":"Construction Time Estimation Function for Canadian Utility Scale Power Plants","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Construction Project Management and Performance","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Renewable energy; Estimation; Hydroelectricity; Function (biology); Scale (ratio); Nameplate capacity; Power station; Wind power; Solar power; Engineering; Environmental economics; Environmental resource management; Civil engineering; Power (physics); Electricity generation; Environmental science; Systems engineering; Geography; Economics; Electrical engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006136317,0.00008823831,0.0001293704,0.0002539629,0.0003431025,0.0002394119,0.0001284486,0.00005971914,0.002815871],"category_scores_gemma":[0.000304419,0.00007948578,0.00006679472,0.0003898227,0.00007445821,0.0005122103,0.0000331241,0.00004914355,0.0003176352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004194172,"about_ca_system_score_gemma":0.0002028633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009691734,"about_ca_topic_score_gemma":0.01071092,"domain_scores_codex":[0.9988207,0.00005264909,0.0002851338,0.0003037828,0.0003525633,0.0001852067],"domain_scores_gemma":[0.999122,0.0001602598,0.00009355519,0.0002900645,0.0002596315,0.00007451122],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001370955,0.00002469974,0.02042139,0.00001381486,0.00004669632,0.00000398565,0.0005080269,0.005381681,0.0009851294,0.01114694,0.08034806,0.8809825],"study_design_scores_gemma":[0.000792616,0.0000773318,0.07120819,0.00002157122,0.00003411065,0.00006863688,0.002726931,0.1059792,0.009291997,0.04592045,0.7634768,0.0004020602],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.945729,0.0000803062,0.0119878,0.0007279916,0.002351363,0.0001753093,0.00007017024,0.00008219593,0.03879586],"genre_scores_gemma":[0.98494,0.000009656881,0.00534664,0.0001578054,0.00007438682,0.00001935518,0.00006862119,0.00000574246,0.009377825],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8805804,"threshold_uncertainty_score":0.9980957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0397495276972633,"score_gpt":0.305353325602522,"score_spread":0.2656037979052587,"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."}}