{"id":"W7045149610","doi":"","title":"Advocating Rights and Space for Every Voice!: Through Neera Adarkar's community activism and advocacy for urban preservations","year":2024,"lang":"en","type":"other","venue":"Research Repository (Delft University of Technology)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Architecture; Gender equity; Visibility; Space (punctuation); Equity (law); Representation (politics); Psychological resilience; Consolidation (business); Social media","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008612848,0.0005608008,0.0003455959,0.001030062,0.02047942,0.01152336,0.001547246,0.004565433,0.01610134],"category_scores_gemma":[0.008047331,0.0003909157,0.0004672243,0.0004141225,0.01217986,0.01198491,0.01372234,0.0104396,0.003154849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002956297,"about_ca_system_score_gemma":0.007876732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003326062,"about_ca_topic_score_gemma":0.01499636,"domain_scores_codex":[0.9948816,0.003017377,0.00008898485,0.0003387526,0.0009283035,0.0007450014],"domain_scores_gemma":[0.992681,0.00379135,0.0003760732,0.0003046928,0.0005932575,0.002253717],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008907548,0.000469236,0.001659881,0.0005624833,0.00001689857,0.0008816522,0.2939371,0.000101794,0.002139796,0.1130305,0.3830315,0.2040801],"study_design_scores_gemma":[0.0000103903,0.0000496203,0.0005223298,0.0004184371,0.000006526097,0.0003529241,0.1118618,0.00007095285,0.0003745221,0.007846863,0.8784677,0.00001793509],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.07638615,0.01912597,0.00531364,0.5340067,0.01630689,0.0002804633,0.00009221397,0.0003362778,0.3481517],"genre_scores_gemma":[0.5218735,0.01251051,0.007033838,0.1460363,0.003713147,0.0003727689,0.00009886412,0.0004791172,0.307882],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02047942,"threshold_uncertainty_score":0.0538643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02898313865824896,"score_gpt":0.300588624098053,"score_spread":0.2716054854398041,"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."}}