{"id":"W2027012313","doi":"10.1177/0309132510380488","title":"Small technologies, big change: Rethinking infrastructure through STS and geography","year":2010,"lang":"en","type":"article","venue":"Progress in Human Geography","topic":"Water Governance and Infrastructure","field":"Social Sciences","cited_by":193,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Infrastructure Canada; Canadian Water Network; University of Manchester; Stockholm Environment Institute","keywords":"Malleability; Economic geography; Human geography; Actor–network theory; Time geography; Sociology; Political science; Geography; Development geography; Historical geography; Social science; Computer science; Computer security","routes":{"ca_aff":true,"ca_fund":true,"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":["sts"],"consensus_categories":[],"category_scores_codex":[0.007873663,0.0006674407,0.0006633556,0.003117291,0.004240496,0.01158435,0.002131225,0.002686879,0.005632418],"category_scores_gemma":[0.01506258,0.0004385829,0.0006785525,0.003367425,0.08296636,0.02775692,0.01084269,0.004373863,0.00050546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009049943,"about_ca_system_score_gemma":0.00464779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005678302,"about_ca_topic_score_gemma":0.007799484,"domain_scores_codex":[0.9932371,0.005019767,0.0001413118,0.0006443523,0.0004923312,0.0004652325],"domain_scores_gemma":[0.9848143,0.01113974,0.0006525525,0.002275782,0.0005158513,0.0006018037],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000008992764,0.000006340295,0.0006660014,0.00006382053,0.000008574518,0.00006778291,0.02013085,0.0007736192,0.00009569832,0.9697148,0.0008225702,0.007640891],"study_design_scores_gemma":[0.00000739674,0.00001886203,0.0008718978,0.00009982659,0.00001227078,0.00004399196,0.01767081,0.001071784,0.0001146689,0.9262251,0.05385223,0.00001115395],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2290039,0.01054596,0.2092339,0.1389417,0.001634255,0.0001502484,0.0001792747,0.0004372702,0.4098734],"genre_scores_gemma":[0.9864,0.001971123,0.006669594,0.001107342,0.0001666353,0.00005347019,0.00002747442,0.00009822936,0.003506154],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9957595,"threshold_uncertainty_score":0.06566221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02976833836397477,"score_gpt":0.2883637926274774,"score_spread":0.2585954542635027,"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."}}