{"id":"W2031827346","doi":"10.1177/0270467609342703","title":"Scale, Composition, and Technology","year":2009,"lang":"en","type":"article","venue":"Bulletin of Science Technology & Society","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Scale (ratio); Composition (language); Goods and services; Unit (ring theory); Gross domestic product; Product (mathematics); Economics; Environmental science; Environmental economics; Economy; Geography; Economic growth; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"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":[],"category_scores_codex":[0.0005209673,0.0001370845,0.0001868203,0.0001243152,0.0004457645,0.00001410447,0.0005594635,0.0002108042,0.0004415316],"category_scores_gemma":[0.00005170778,0.0001120048,0.00004831419,0.001718052,0.01626488,0.00009047214,0.0004388675,0.0002258373,0.0000592437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002216342,"about_ca_system_score_gemma":0.00001905831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000255852,"about_ca_topic_score_gemma":0.000001373276,"domain_scores_codex":[0.9985833,0.000009809117,0.0002159675,0.000457026,0.0003003163,0.0004335538],"domain_scores_gemma":[0.9993889,0.0000136651,0.00009418317,0.0003939997,0.00002267423,0.00008662039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0000100752,0.0004477522,0.3563264,0.00001124514,0.000006638772,0.000004079589,0.0008782341,0.00002360232,0.5785794,0.002267292,0.008025054,0.0534202],"study_design_scores_gemma":[0.001102046,0.001056048,0.4979057,0.00004097772,0.00003834271,0.0001790936,0.01398719,0.0002206675,0.3877007,0.05058137,0.04643436,0.0007535411],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9656469,0.0000967885,0.00009651561,0.03025152,0.0000205045,0.0001894987,0.000001709893,0.0001518105,0.003544719],"genre_scores_gemma":[0.9843611,0.00008044493,0.01476876,0.000533246,0.000004206744,0.000006517747,4.970855e-7,0.0000043362,0.0002409663],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1908787,"threshold_uncertainty_score":0.9864123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00287836807340458,"score_gpt":0.2163889659802387,"score_spread":0.2135105979068342,"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."}}