{"id":"W4376470242","doi":"10.1109/cpere56564.2023.10119532","title":"CPERE 2023 Panel Discussion","year":2023,"lang":"en","type":"article","venue":"","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary; University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01062875,0.0021244,0.001837286,0.00245022,0.007037273,0.01514222,0.004928741,0.06887644,0.1037049],"category_scores_gemma":[0.02238496,0.001062548,0.00333683,0.003639665,0.002262441,0.005169018,0.003400265,0.02491777,0.03946867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009914662,"about_ca_system_score_gemma":0.02575034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1001392,"about_ca_topic_score_gemma":0.1472481,"domain_scores_codex":[0.9941627,0.0008433885,0.0002083839,0.0008763616,0.002389715,0.001519413],"domain_scores_gemma":[0.9905108,0.00429548,0.0003038443,0.0004161832,0.003311907,0.00116192],"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":[0.00005911733,0.00002935787,0.00008550087,0.00006238196,0.000006152253,0.00004599143,0.0000199996,0.000054593,0.00005371889,0.003577101,0.9945782,0.001427817],"study_design_scores_gemma":[0.0001196281,0.00001747609,0.001544839,0.0002756307,0.0000307328,0.00002570056,0.0001598106,0.000104079,0.0002523393,0.003822883,0.9936144,0.00003239694],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.001233855,0.003739061,0.000776195,0.6085077,0.09166166,0.0007233873,0.02865551,0.0002969684,0.2644057],"genre_scores_gemma":[0.006962074,0.00189988,0.0008829634,0.6599687,0.01511682,0.001465513,0.004995411,0.0002158379,0.3084927],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1037049,"threshold_uncertainty_score":0.3469273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02845672226790797,"score_gpt":0.2486295177418922,"score_spread":0.2201727954739842,"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."}}