{"id":"W6912125100","doi":"10.5281/zenodo.16761193","title":"IN-HABIT Glossary (Annex to D5.1 Stakeholders Engagement with GDEI perspective Toolkit)","year":2021,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Urban Planning and Valuation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"European Commission","keywords":"Glossary; Terminology; Outreach; Vocabulary; Relevance (law); Perspective (graphical); Plan (archaeology); Thematic analysis","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006254216,0.0001124825,0.00009775881,0.00009325883,0.0008035664,0.0003025037,0.0003767169,0.00003197616,0.02516504],"category_scores_gemma":[0.0003789615,0.0001135349,0.0000229136,0.0007593872,0.00009026968,0.0002951711,0.0006806009,0.0002158352,0.009256863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005668601,"about_ca_system_score_gemma":0.000004749894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009849452,"about_ca_topic_score_gemma":0.000005757606,"domain_scores_codex":[0.9983096,0.0003286889,0.000145963,0.0004589632,0.0004546394,0.0003021293],"domain_scores_gemma":[0.9993609,0.00002061155,0.00004248132,0.0003099391,0.0001218213,0.0001442313],"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":[0.0003090145,0.0007089922,0.001345169,0.00003634987,0.00008864929,0.0003295513,0.02613945,0.01193999,0.02569987,0.00367813,0.8964535,0.03327133],"study_design_scores_gemma":[0.0007012019,0.0003685091,0.03027041,0.00003394976,0.000014266,0.00006851531,0.00484903,0.0004727897,0.001141141,0.000202017,0.9616274,0.0002507704],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.563369,0.00005819814,0.003656214,0.005092476,0.00009741021,0.0006705943,0.00008228339,0.0003834803,0.4265904],"genre_scores_gemma":[0.9934298,0.00001181112,0.00100949,0.0006236996,0.00005543686,1.21753e-7,0.0002505824,0.0004324006,0.004186697],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4300608,"threshold_uncertainty_score":0.9915146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08354023957193973,"score_gpt":0.2685261610027748,"score_spread":0.1849859214308351,"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."}}