{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003904785,0.001171725,0.001040002,0.006346865,0.002348335,0.008005028,0.002127663,0.002163779,0.282098],"category_scores_gemma":[0.0113324,0.0008999247,0.0008548041,0.008896122,0.001529257,0.006369525,0.00702987,0.002758375,0.1452222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004462468,"about_ca_system_score_gemma":0.004290517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01552915,"about_ca_topic_score_gemma":0.01966153,"domain_scores_codex":[0.9966821,0.00113793,0.0007271007,0.0003846927,0.000819587,0.0002485035],"domain_scores_gemma":[0.9954288,0.002016399,0.000273378,0.0007956623,0.001308925,0.0001768795],"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":[0.00008503484,0.00003306207,0.0004181141,0.003864083,0.00001225482,0.0001900556,0.006706492,0.0002372326,0.0009970687,0.06904712,0.866406,0.05200345],"study_design_scores_gemma":[0.000003462786,0.000003659227,0.0003279316,0.0005772755,0.000002131398,0.00004386972,0.0008048677,0.00002275044,0.00009602108,0.002016516,0.9960914,0.00001005083],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002547201,0.003510859,0.02540012,0.003873497,0.002337958,0.003111534,0.2579954,0.003108012,0.6981155],"genre_scores_gemma":[0.03978033,0.008808968,0.05896263,0.00830132,0.0008058355,0.01782642,0.476436,0.0128831,0.3761954],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.282098,"threshold_uncertainty_score":0.9437117,"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."}}