{"id":"W4306168562","doi":"10.1177/03063127221126465","title":"The Big Flush of Montreal: On affective maintenance and infrastructural events","year":2022,"lang":"en","type":"article","venue":"Social Studies of Science","topic":"Water Governance and Infrastructure","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Surprise; Work (physics); Plan (archaeology); Affect (linguistics); History; Business; Operations management; Sociology; Psychology; Archaeology; Engineering; Social psychology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0009816654,0.00007608491,0.0001685167,0.0000347854,0.004910158,0.0000154869,0.0004814563,0.00001752066,0.000005938561],"category_scores_gemma":[0.0005217193,0.00005149011,0.0000455428,0.0006139611,0.006922573,0.0001371265,0.0003769562,0.0001222738,2.707973e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002047781,"about_ca_system_score_gemma":0.0001750831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002520496,"about_ca_topic_score_gemma":0.001299502,"domain_scores_codex":[0.9984123,0.0001060329,0.0001512908,0.0001844647,0.000844456,0.0003014545],"domain_scores_gemma":[0.9992985,0.0001636734,0.0002287279,0.00008299894,0.0001940106,0.00003207418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0002791648,0.0000699528,0.04961579,0.00003750752,0.0001608162,0.000003146023,0.5308301,0.00009564729,0.003272936,0.1745328,0.0132917,0.2278105],"study_design_scores_gemma":[0.0003525424,0.0002578616,0.7179428,0.00001923649,0.00001239075,5.377817e-7,0.2190418,0.000005513182,0.000791009,0.0545749,0.006866639,0.0001347505],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915804,0.0004013766,0.00000118371,0.001515759,0.0007119426,0.0001709546,0.00002524832,0.000008766888,0.005584387],"genre_scores_gemma":[0.9991366,0.0003634285,0.00001797578,0.00008270123,0.0001041455,0.00001383094,1.298376e-7,0.000002934301,0.0002782709],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.668327,"threshold_uncertainty_score":0.9963853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0181654101597705,"score_gpt":0.3056717105516883,"score_spread":0.2875063003919178,"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."}}