{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005085422,0.0005999915,0.0004155011,0.002534126,0.0005332713,0.001129042,0.0009161574,0.0005437966,0.004501097],"category_scores_gemma":[0.02038218,0.0002511121,0.001084007,0.003465404,0.0004630509,0.0004407835,0.0004891183,0.0009675541,0.0007364882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01285675,"about_ca_system_score_gemma":0.01132683,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8660036,"about_ca_topic_score_gemma":0.8278291,"domain_scores_codex":[0.9982504,0.0003767314,0.0001077435,0.0003111114,0.0006552335,0.0002988421],"domain_scores_gemma":[0.9905246,0.004756012,0.0009435174,0.0004191411,0.003168543,0.0001881974],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004288392,0.0001418476,0.2563395,0.000232059,0.0001407843,0.0001525778,0.0006978961,0.5455544,0.002423863,0.01462888,0.01044399,0.1688153],"study_design_scores_gemma":[0.00001759345,0.0001016273,0.2728894,0.00005604957,0.00005973015,0.0000848066,0.0004886806,0.7141746,0.001777012,0.001385316,0.008891175,0.00007404896],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8504066,0.0007028269,0.1149726,0.0006427956,0.0000383272,0.0003906676,0.0133105,0.00102228,0.01851348],"genre_scores_gemma":[0.9421812,0.0003342141,0.03628649,0.00004383747,0.00000777897,0.000195223,0.01127216,0.0001031863,0.009575912],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1339964,"threshold_uncertainty_score":0.2695709,"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."}}