{"id":"W3168458897","doi":"10.24908/cpp-apc.v2021i2.13930","title":"The CEP Crosswalk: A community energy planning tool for interdepartmental alignment and stakeholder engagement","year":2021,"lang":"en","type":"article","venue":"Canadian Planning and Policy / Aménagement et politique au Canada","topic":"Smart Cities and Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Parks Canada; Dalhousie University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Schema crosswalk; Stakeholder engagement; Stakeholder; Computer science; Process management; Business; Transport engineering; Engineering; Political science; Public relations","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003059311,0.0002436345,0.0001888823,0.0001195318,0.001020902,0.0002539857,0.0001800646,0.00007291799,0.000006652589],"category_scores_gemma":[0.00009388357,0.0002333963,0.00003079905,0.0001023758,0.00010193,0.00007882628,0.0001287031,0.0002712157,1.53714e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001101009,"about_ca_system_score_gemma":0.001104151,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9409329,"about_ca_topic_score_gemma":0.9846878,"domain_scores_codex":[0.9985562,0.00009951165,0.0002397419,0.0001838124,0.0001262186,0.0007945345],"domain_scores_gemma":[0.9989829,0.0003590604,0.00003635668,0.0003109406,0.0000328211,0.0002779359],"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":[0.00002812105,0.00002631337,0.0183825,0.0005547454,0.0009715981,0.0004576592,0.01140087,0.005000398,0.0001409394,0.4476171,0.4974641,0.01795563],"study_design_scores_gemma":[0.0004511672,0.00005454098,0.01189936,0.0001277141,0.00002635905,0.00003974885,0.015922,0.0005774097,0.0009213642,0.001311747,0.968294,0.000374542],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9682983,0.00245477,0.000459296,0.008244672,0.0006213086,0.0003917887,0.00108846,0.0001848038,0.01825664],"genre_scores_gemma":[0.9946569,0.0001990248,0.00008868428,0.0039659,0.0001450408,0.0001490816,0.0001494541,0.00003499421,0.000610987],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4708299,"threshold_uncertainty_score":0.9517623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03173350795297063,"score_gpt":0.2600044776416199,"score_spread":0.2282709696886492,"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."}}