{"id":"W2980529166","doi":"10.3167/sa.2019.630307","title":"Speculating (on the Digital and the Monetary)","year":2019,"lang":"en","type":"article","venue":"Social Analysis","topic":"Social Media and Politics","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Action (physics); Sociology; Scholarship; Order (exchange); Dichotomy; Control (management); Closure (psychology); Openness to experience; Epistemology; Public relations; Law and economics; Computer science; Social psychology; Political science; Business; Psychology; Law; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00356428,0.000616006,0.0004357946,0.002716268,0.003965772,0.0210968,0.001117172,0.003421411,0.011839],"category_scores_gemma":[0.008689604,0.0001890048,0.0003684456,0.002922785,0.0460702,0.0271792,0.007427634,0.004108501,0.001638619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00315239,"about_ca_system_score_gemma":0.001780711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001706737,"about_ca_topic_score_gemma":0.001690004,"domain_scores_codex":[0.9962068,0.001972117,0.0001448154,0.0005738661,0.0008423971,0.0002601306],"domain_scores_gemma":[0.9968354,0.001848201,0.0002905831,0.000574464,0.0002684536,0.0001829667],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003304223,0.00000197011,0.00006972945,0.00001854045,0.000001246773,0.0000161069,0.001491168,0.00003376378,0.00003230491,0.9943282,0.0009851271,0.003018514],"study_design_scores_gemma":[0.000004386849,0.00001085259,0.0003246289,0.0002460769,0.000004393209,0.00007134402,0.00650754,0.0001844573,0.0001516428,0.854515,0.1379698,0.000009868238],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04374994,0.01864909,0.05263337,0.1287033,0.002193558,0.00004499521,0.0002493889,0.00009748511,0.753679],"genre_scores_gemma":[0.9349838,0.01095049,0.009681793,0.01225378,0.002500394,0.0001570334,0.0001233364,0.0001349887,0.02921442],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0210968,"threshold_uncertainty_score":0.03960538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01630071555971315,"score_gpt":0.2757600560068911,"score_spread":0.259459340447178,"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."}}