{"id":"W2565522651","doi":"10.2495/sdp-v12-n4-763-771","title":"Sustainable Interdisciplinary Transformation of Warsaw University of Technology Buildings. KODnZEB Case Study","year":2016,"lang":"en","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"University-Industry-Government Innovation Models","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Architectural engineering; Sustainable development; Transformation (genetics); Civil engineering; Engineering; Environmental planning; Geography; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006335277,0.0001110848,0.0002002266,0.001295749,0.0001608732,0.00004150428,0.0003036624,0.00009517806,0.00005335745],"category_scores_gemma":[0.00006513635,0.00009651299,0.00003774947,0.0004299465,0.00006483447,0.002139667,0.00038269,0.0001628438,8.557305e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002348191,"about_ca_system_score_gemma":0.0001225085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001037134,"about_ca_topic_score_gemma":0.000005041572,"domain_scores_codex":[0.9988822,0.000009373036,0.0004307769,0.0001107373,0.0003857516,0.0001811726],"domain_scores_gemma":[0.9973522,0.00003654019,0.0007455602,0.00005968702,0.001791276,0.00001475723],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.00290036,0.001438295,0.5922879,0.0009590794,0.001987507,0.072212,0.06782593,0.001597645,0.002225329,0.1962534,0.002568009,0.05774457],"study_design_scores_gemma":[0.003040787,0.000100025,0.006188031,0.0003105726,0.00007437125,0.000371348,0.9662148,0.0001457933,0.001063221,0.002407658,0.019871,0.0002123569],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986678,0.000023348,0.01050999,0.0009268833,0.0000975041,0.0001581211,0.000001237507,0.00001280302,0.001592117],"genre_scores_gemma":[0.9981626,0.000003778522,0.0007200861,0.00002379355,0.00006194835,3.188345e-7,0.000002002444,0.000006741071,0.001018709],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8983889,"threshold_uncertainty_score":0.3935686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01409673227762744,"score_gpt":0.236346579487981,"score_spread":0.2222498472103536,"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."}}