{"id":"W3039325686","doi":"10.37867/te100102","title":"AN ANALYSIS OF POWER SECTOR REFORMS IN INDIA AND CANADA","year":2018,"lang":"en","type":"article","venue":"Towards Excellence","topic":"Electric Power System Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Manitoba Hydro","keywords":"Hydroelectricity; Electrification; Hydropower; Nova scotia; Electricity; Rural electrification; Electric power industry; Geography; Economy; Agricultural economics; Engineering; Archaeology; Economics","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":[],"consensus_categories":[],"category_scores_codex":[0.0001223443,0.0000799215,0.0001791707,0.0002210229,0.00001349791,0.000007522512,0.0001117155,0.00004416184,0.0000868479],"category_scores_gemma":[0.0000133,0.00007402698,0.00001342321,0.0006770378,0.00002302141,0.00009442846,0.00001076521,0.00005094087,8.949706e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001427613,"about_ca_system_score_gemma":0.00008002861,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.225615,"about_ca_topic_score_gemma":0.31919,"domain_scores_codex":[0.9993778,0.00001577226,0.0001866545,0.0001246796,0.0001436207,0.0001514359],"domain_scores_gemma":[0.9996638,0.00001168832,0.00003095427,0.000199374,0.00004079281,0.00005339574],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001262972,0.0002131578,0.7126448,0.0006698478,0.001838671,0.0001137388,0.02599484,0.1975472,0.03446956,0.0009287841,0.003273437,0.02217968],"study_design_scores_gemma":[0.0002249991,0.0001257749,0.6005905,0.00003683,0.00007458444,0.000003055009,0.0002348358,0.387542,0.01062049,0.00001355872,0.0002595641,0.000273792],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893388,0.0001626099,0.003488289,0.000006772031,0.0001308162,0.00006953388,0.00001178014,0.00003780421,0.006753609],"genre_scores_gemma":[0.999555,0.00003594595,0.000329801,0.00001235455,0.00001350144,0.000003530628,0.000005021081,0.000009987536,0.00003486735],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1899948,"threshold_uncertainty_score":0.7795417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003879403584737158,"score_gpt":0.1967492161279488,"score_spread":0.1928698125432116,"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."}}