{"id":"W2922169424","doi":"10.3138/ctr.178.011","title":"<i>Foxconn Frequency (no.3)</i>","year":2019,"lang":"en","type":"article","venue":"Canadian Theatre Review","topic":"History of Computing Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (physics); History; Geography; Visual arts; Art; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0005127924,0.0007273008,0.0002848936,0.00140255,0.001955364,0.002152217,0.00054345,0.0006853447,0.1995939],"category_scores_gemma":[0.003209856,0.0001691562,0.000217632,0.001276862,0.001421997,0.001336274,0.00119754,0.001268232,0.04922682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001468771,"about_ca_system_score_gemma":0.000686193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02884164,"about_ca_topic_score_gemma":0.06173334,"domain_scores_codex":[0.999676,0.00004360818,0.00001130074,0.00003701705,0.0001835955,0.00004844066],"domain_scores_gemma":[0.9992043,0.0002132628,0.00003306868,0.00005955378,0.0003816361,0.0001081398],"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":[0.00003814758,0.000004865964,0.0001208367,0.0001270078,0.000001450421,0.00004851315,0.001634107,0.00001432787,0.0006288977,0.00490032,0.9686974,0.02378405],"study_design_scores_gemma":[0.000002770364,0.00001577913,0.001271438,0.00007528178,8.99251e-7,0.00007450121,0.0006761072,0.00002213514,0.0002892166,0.000211769,0.9973521,0.000008028463],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.009055777,0.003063753,0.005201981,0.01244578,0.02264222,0.0002407566,0.005336548,0.002936841,0.9390763],"genre_scores_gemma":[0.04995225,0.001651514,0.003169228,0.003502231,0.00463778,0.0002200928,0.004360367,0.003352717,0.9291539],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1995939,"threshold_uncertainty_score":0.6677082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01106752412818155,"score_gpt":0.2140443715000096,"score_spread":0.2029768473718281,"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."}}