{"id":"W2996081474","doi":"10.4000/tc.12372","title":"Viscous Objects. The Uneven Resistances of Repair","year":2022,"lang":"en","type":"article","venue":"Techniques & culture","topic":"Water Governance and Infrastructure","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Warranty; Object (grammar); Computer science; Operations research; Business; Engineering; Political science; Law; Artificial intelligence","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":[0.002104601,0.0007793932,0.0003509767,0.00232055,0.005449567,0.009011184,0.001277664,0.003950723,0.0103612],"category_scores_gemma":[0.009578388,0.0006199988,0.0005399385,0.001512139,0.03601469,0.01591378,0.005406397,0.002552745,0.001319542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00400523,"about_ca_system_score_gemma":0.001372429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004730566,"about_ca_topic_score_gemma":0.002920305,"domain_scores_codex":[0.996887,0.001162242,0.0002144239,0.0005352139,0.0008395746,0.0003614959],"domain_scores_gemma":[0.9957668,0.00204961,0.0007146563,0.0008349387,0.0004158832,0.0002181265],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.000009723211,0.000004116745,0.0003028566,0.00004889103,0.000002143239,0.0001725696,0.01659739,0.000264488,0.0001595947,0.9747562,0.001125771,0.006556293],"study_design_scores_gemma":[0.0000131783,0.00003819414,0.001621807,0.0003312515,0.0000169044,0.001101865,0.02786197,0.001246378,0.0005009188,0.653576,0.3136541,0.00003751267],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1060662,0.01200916,0.1305448,0.01771444,0.0007336746,0.0001482542,0.0002253726,0.0003606655,0.7321973],"genre_scores_gemma":[0.9426036,0.002664629,0.01098645,0.0009489781,0.0002400058,0.0001309254,0.00009303264,0.0002409967,0.04209138],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0103612,"threshold_uncertainty_score":0.03466165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009245560273673856,"score_gpt":0.2770786973079649,"score_spread":0.267833137034291,"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."}}