{"id":"W7097942486","doi":"","title":"Public Market Entry: A Step-by-Step Guide","year":2011,"lang":"en","type":"article","venue":"","topic":"Electric Power System Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Subject matter; Order (exchange); Subject (documents); Market research; Electricity; Market analysis","routes":{"ca_aff":false,"ca_fund":false,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001684937,0.0001258013,0.000121255,0.00008967037,0.00002354791,0.00003700832,0.0001739156,0.00008019422,0.002708782],"category_scores_gemma":[0.00003322538,0.0001212069,0.000031171,0.0002705058,0.000007386773,0.0002102218,0.00002127189,0.00007044381,0.0001945955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008647351,"about_ca_system_score_gemma":0.00001441689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000667374,"about_ca_topic_score_gemma":0.0000235496,"domain_scores_codex":[0.9991752,0.00002901549,0.0002286219,0.0001384284,0.000132968,0.0002957933],"domain_scores_gemma":[0.9995558,0.00002054647,0.00002362787,0.0002609404,0.00004301881,0.00009604119],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001908599,0.00001567205,0.0007459037,0.00001984358,0.00003622588,0.000002308329,0.00002798632,0.00002422929,0.0001399019,0.0007794275,0.9958251,0.002381478],"study_design_scores_gemma":[0.0004342665,0.00003834845,0.0003564508,0.00001585347,0.00001453767,0.00001943963,0.00003706496,0.2140145,0.002122469,0.00001148154,0.7825955,0.0003401217],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.00009302086,0.0002181471,0.423109,0.00002241357,0.0002121893,0.0001049289,0.000002322414,0.0004922587,0.5757457],"genre_scores_gemma":[0.8336686,0.0002101172,0.07737216,0.0002031523,0.0001061634,0.00008330572,0.00003327583,0.0001293303,0.08819387],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8335756,"threshold_uncertainty_score":0.9982029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01632902481546473,"score_gpt":0.1831056643688181,"score_spread":0.1667766395533533,"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."}}