{"id":"W4416428410","doi":"10.1007/978-3-031-99875-1_9","title":"Frictional Infrastructures: Navigating the Socio-Spatial Landscape of Second-Hand and Waste Tyres in Mega-City Lagos (Nigeria)","year":2025,"lang":"en","type":"book-chapter","venue":"","topic":"Water Governance and Infrastructure","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Transformational leadership; Psychological resilience; Asphalt; Resilience (materials science); Flexibility (engineering); Key (lock)","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":[0.0001606264,0.0002629313,0.0001428095,0.0006659511,0.004023118,0.005647417,0.0003607163,0.0006693396,0.004019137],"category_scores_gemma":[0.0003064496,0.000181802,0.0001266835,0.001594228,0.002712969,0.002277106,0.002733716,0.0006423704,0.0002496687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002416669,"about_ca_system_score_gemma":0.002605077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03134612,"about_ca_topic_score_gemma":0.1489117,"domain_scores_codex":[0.9999027,0.00002962465,0.000002312383,0.00001071444,0.0000077874,0.00004687821],"domain_scores_gemma":[0.9999378,0.00002217856,0.00001492373,0.000002992288,0.000006410726,0.00001575713],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008016663,0.00008259048,0.05948262,0.0004640979,0.00001200758,0.004557049,0.5059366,0.002356522,0.002215891,0.304781,0.008311815,0.1117197],"study_design_scores_gemma":[0.000003057682,0.00004027806,0.03088642,0.0006451817,0.00001248141,0.000818013,0.8294181,0.0008502087,0.000436669,0.02062065,0.1162517,0.00001727316],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8404471,0.004937855,0.002602591,0.002848603,0.00008496842,0.0000551676,0.0001081032,0.00002054777,0.1488951],"genre_scores_gemma":[0.980296,0.002145663,0.0009555032,0.00007621188,0.000006041204,0.00001858601,0.0000257428,0.000008614062,0.01646766],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03134612,"threshold_uncertainty_score":0.06232733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008882932959256365,"score_gpt":0.2490827302983706,"score_spread":0.2401997973391142,"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."}}