{"id":"W4297497397","doi":"10.26868/25746308.2022.simbuild2022_c024","title":"Infomorphism: An Urban Planning Framework for Local Renewable Energy Integration","year":2022,"lang":"en","type":"article","venue":"ASHRAE/IBPSA-USA Building Simulation Conference","topic":"Human Mobility and Location-Based Analysis","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Rensselaer Polytechnic Institute","keywords":"Renewable energy; Energy planning; Urban planning; Computer science; Envelope (radar); Parametric statistics; Energy supply; Energy (signal processing); Civil engineering; Engineering; Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0006440032,0.0005522346,0.0004397396,0.0007114541,0.0006946927,0.002035909,0.001632217,0.0006790859,0.006663908],"category_scores_gemma":[0.001068701,0.0003383081,0.001084504,0.001070779,0.001100558,0.001948497,0.002129431,0.0009772368,0.0007693266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001508321,"about_ca_system_score_gemma":0.001705995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01120891,"about_ca_topic_score_gemma":0.01940798,"domain_scores_codex":[0.9996731,0.0001447645,0.00001524364,0.000048078,0.00008461456,0.0000341193],"domain_scores_gemma":[0.9997434,0.00008843544,0.00003432732,0.00005493364,0.0000439597,0.00003492771],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001347101,0.00001697165,0.0005259394,0.00004038603,0.00001494704,0.00006493379,0.0001412139,0.4663867,0.0002638762,0.5112436,0.002471546,0.01881647],"study_design_scores_gemma":[0.0000107733,0.00002217066,0.0002111209,0.00003896156,0.000009547285,0.00004671113,0.0001383001,0.8071485,0.0003400702,0.1598305,0.03218638,0.00001697387],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003953545,0.00008958852,0.9809787,0.0003838625,0.00002771551,0.00004188043,0.0004297125,0.00047035,0.01362457],"genre_scores_gemma":[0.3462225,0.0004159216,0.6445703,0.0001709253,0.000043119,0.0004366818,0.001074394,0.0002867119,0.006779471],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01120891,"threshold_uncertainty_score":0.02229303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06548472521462231,"score_gpt":0.3699930819915311,"score_spread":0.3045083567769088,"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."}}