{"id":"W6930399364","doi":"10.5281/zenodo.11581430","title":"Building Feature Characterization Tool","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Usability; Identification (biology); Software; Artificial neural network; Feature (linguistics); Energy (signal processing); Building energy simulation; Software tool","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":[0.0005925888,0.001566077,0.0007954122,0.002453281,0.0004437055,0.001313679,0.001822428,0.0006460967,0.1125651],"category_scores_gemma":[0.00194426,0.0006938024,0.001003401,0.001377464,0.0002054965,0.001234271,0.0014195,0.0008716484,0.02547316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004482615,"about_ca_system_score_gemma":0.0006853977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003851064,"about_ca_topic_score_gemma":0.006064962,"domain_scores_codex":[0.9996511,0.00003049656,0.00002790037,0.00005546608,0.0002019302,0.00003305786],"domain_scores_gemma":[0.9994218,0.000187843,0.00004057147,0.0001158355,0.0001978951,0.00003594032],"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":[0.000416613,0.0002465543,0.008897969,0.001595572,0.0001708135,0.0005957991,0.0004183733,0.07939275,0.01775984,0.02045867,0.4512485,0.4187986],"study_design_scores_gemma":[0.0001395629,0.00007182951,0.004571313,0.0001609722,0.00007647773,0.0006630786,0.000135102,0.3913203,0.02603231,0.01222849,0.5644517,0.0001488756],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.0131193,0.0002113856,0.6542416,0.0001495078,0.000114784,0.0004008009,0.05546729,0.2322897,0.04400568],"genre_scores_gemma":[0.1461897,0.000661595,0.4495225,0.0003626969,0.00007292371,0.002075619,0.2663304,0.06771487,0.06706982],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.1125651,"threshold_uncertainty_score":0.3765678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01547798523241235,"score_gpt":0.2350748214574742,"score_spread":0.2195968362250619,"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."}}