{"id":"W4385496321","doi":"10.1177/0961463x231178132","title":"Planning, ethics and infrastructural time","year":2023,"lang":"en","type":"article","venue":"Time & Society","topic":"Water Governance and Infrastructure","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Deliberation; Futures contract; Framing (construction); Sociology; Set (abstract data type); Epistemology; Computer science; Economics; Political science; Law; Philosophy; Engineering; Politics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006568325,0.0001063779,0.0001336795,0.00001251588,0.0007954386,0.00009884178,0.000180058,0.0002520929,0.001202591],"category_scores_gemma":[0.0001346285,0.00009451538,0.00008421573,0.000293377,0.0003722021,0.0002509748,0.0000936288,0.0004683867,0.0009844815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005353336,"about_ca_system_score_gemma":0.000131854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003362694,"about_ca_topic_score_gemma":0.000008539742,"domain_scores_codex":[0.9988719,0.00009126525,0.0001119012,0.0001936781,0.0003702046,0.0003611092],"domain_scores_gemma":[0.9995338,0.0001487681,0.00005977676,0.0001109709,0.00004605071,0.0001006164],"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":[0.000004475623,0.000003105656,0.005682833,0.0000168932,0.00003708685,0.000004560651,0.2138272,0.00002982951,0.001489728,0.001069279,0.776206,0.001629088],"study_design_scores_gemma":[0.000453395,0.00004764976,0.134747,0.00005972982,0.0000297919,0.000003801126,0.009573041,0.001367651,0.0002568952,0.01237983,0.8406181,0.0004631583],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9700267,0.0001457412,0.000007041097,0.004014287,0.0001743286,0.0001298422,0.00002701366,0.0003955063,0.02507959],"genre_scores_gemma":[0.8724493,0.0006370205,0.001568222,0.004085897,0.001636742,0.00001205537,0.0000813983,0.00005230967,0.119477],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2042541,"threshold_uncertainty_score":0.9997934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02389718703436859,"score_gpt":0.316415665877792,"score_spread":0.2925184788434234,"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."}}