{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00052526,0.0002268492,0.0003778398,0.0007882285,0.0008062993,0.00006396717,0.0006080145,0.0003217803,0.0005415751],"category_scores_gemma":[0.00007560103,0.0002465882,0.0001013405,0.0004216198,0.000857188,0.00005734053,0.0009304197,0.001062874,0.000004923219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003576889,"about_ca_system_score_gemma":0.0003101432,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01817863,"about_ca_topic_score_gemma":0.0002992973,"domain_scores_codex":[0.9984046,0.0001622961,0.0001786587,0.0004709599,0.0003407866,0.0004426835],"domain_scores_gemma":[0.9981419,0.0005233262,0.0001583709,0.0007092214,0.0003686843,0.00009847537],"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":[0.0001167838,0.0002718042,0.0005838309,0.001548204,0.0005333673,0.000009307671,0.0009182309,5.192043e-7,0.003988303,0.01931562,0.9624109,0.01030318],"study_design_scores_gemma":[0.0008405966,0.0003861322,0.0001494399,0.0005683936,0.0000977713,0.000001894015,0.006448859,0.0004538047,0.001338632,0.006257058,0.9832228,0.0002346592],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.06884855,0.002553942,0.00507365,0.004929973,0.0001802414,0.00594057,0.0003878421,0.0004114502,0.9116738],"genre_scores_gemma":[0.05364519,0.00006924778,0.009253353,0.000002632857,0.0001647013,0.00005695523,0.00005957323,0.0001204763,0.9366279],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02495409,"threshold_uncertainty_score":0.9999986,"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."}}