{"id":"W2945700895","doi":"10.29173/cons29365","title":"The Thirst for Tea","year":2019,"lang":"en","type":"article","venue":"Constellations","topic":"Historical Economic and Social Studies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Materiality (auditing); Narrative; Order (exchange); Tea party; Government (linguistics); Aesthetics; Political science; Sociology; History; Law; Business; Art; Politics; Literature; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0005326711,0.000173384,0.000234785,0.000599711,0.005137517,0.003667929,0.0002803357,0.0009017573,0.01600441],"category_scores_gemma":[0.001226909,0.0002156852,0.0001986163,0.0007203837,0.005209919,0.002701103,0.00219077,0.002484256,0.002081451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002469854,"about_ca_system_score_gemma":0.001264477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0232284,"about_ca_topic_score_gemma":0.04502044,"domain_scores_codex":[0.9994538,0.0001481361,0.00001593963,0.00007631571,0.0001478943,0.0001578779],"domain_scores_gemma":[0.9995553,0.00009062943,0.00008796043,0.00003328736,0.00008505123,0.0001478027],"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":[0.0004241022,0.00009891813,0.01871335,0.0006244171,0.00004618614,0.00298583,0.1899407,0.0002019011,0.003051769,0.5803099,0.09829493,0.1053081],"study_design_scores_gemma":[0.000004896865,0.00006873345,0.009251171,0.0002122588,0.000005267064,0.0005597764,0.02576891,0.00004668121,0.0002525101,0.007563699,0.956242,0.00002405935],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.3398996,0.02590787,0.002050864,0.05217695,0.001978235,0.00003205236,0.0004583622,0.0001070258,0.5773891],"genre_scores_gemma":[0.7860435,0.01152344,0.0006701431,0.003979003,0.0005269071,0.0000115545,0.0001254705,0.00007597037,0.197044],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0232284,"threshold_uncertainty_score":0.05354011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03481042369331215,"score_gpt":0.2142092351176629,"score_spread":0.1793988114243507,"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."}}