{"id":"W7062312574","doi":"","title":"The Syndicate! : What is it?","year":2014,"lang":"en","type":"article","venue":"QSpace (Queen's University Library)","topic":"Advanced Power Generation Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sketch; Government (linguistics); Syndicate; Generality; Capital (architecture); Face (sociological concept); Reflexive pronoun; Reputation","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001669343,0.000921255,0.0003817174,0.001226478,0.006362428,0.01599813,0.001056819,0.002587011,0.1095504],"category_scores_gemma":[0.006693095,0.0004246983,0.0004629631,0.001135229,0.005934548,0.01860025,0.006198489,0.004258188,0.06113799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003013005,"about_ca_system_score_gemma":0.003654965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01186436,"about_ca_topic_score_gemma":0.01144065,"domain_scores_codex":[0.9983886,0.0006097264,0.00007355998,0.0002301071,0.0004939146,0.0002040087],"domain_scores_gemma":[0.9980428,0.0003192737,0.0001028356,0.0003138892,0.0005534657,0.0006676933],"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":[0.0000351205,0.00002766682,0.0005752877,0.0001585205,0.000003956124,0.0002920463,0.009466507,0.00006147326,0.000311859,0.2347803,0.6980558,0.05623142],"study_design_scores_gemma":[0.000001596283,0.000004682708,0.00007896721,0.00005950325,8.762942e-7,0.00005959098,0.002369493,0.00001880664,0.00003983248,0.00278765,0.9945742,0.000004770578],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00346691,0.004977979,0.009139869,0.1154695,0.02227554,0.0001353379,0.0006581886,0.001383126,0.8424935],"genre_scores_gemma":[0.05306557,0.004089631,0.004107938,0.01427244,0.00320843,0.0001472546,0.0005652354,0.001151106,0.9193925],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1095504,"threshold_uncertainty_score":0.3664827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005012303189610162,"score_gpt":0.1706721832860127,"score_spread":0.1656598800964025,"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."}}