{"id":"W4236045281","doi":"10.7551/mitpress/5614.001.0001","title":"Profiling Machines","year":2003,"lang":"en","type":"book","venue":"The MIT Press eBooks","topic":"Fashion and Cultural Textiles","field":"Arts and Humanities","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Profiling (computer programming); Warranty; Indigenous; Politics; Data science; World Wide Web; Computer science; Political science; Law","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":[0.001971026,0.001100415,0.0005739833,0.001753633,0.002682784,0.006554912,0.001925332,0.002560471,0.1114574],"category_scores_gemma":[0.008076984,0.0006532572,0.0005709045,0.002028124,0.002214476,0.01125346,0.004682163,0.002148247,0.0781539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009915252,"about_ca_system_score_gemma":0.001000714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001530248,"about_ca_topic_score_gemma":0.001337513,"domain_scores_codex":[0.9972371,0.000669595,0.0001471568,0.0007060488,0.0008780453,0.0003619718],"domain_scores_gemma":[0.9971614,0.0006800704,0.0001924918,0.001056435,0.0006675058,0.000242207],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001970499,0.00007624095,0.001145603,0.0002391824,0.00001784058,0.000218569,0.001671819,0.001093457,0.002944499,0.3088433,0.2968656,0.3866867],"study_design_scores_gemma":[0.000009804253,0.00002758346,0.000393849,0.0001042709,0.000007624529,0.0002001868,0.0003864557,0.001926692,0.001622803,0.03237826,0.9629182,0.0000242289],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.008524588,0.004215129,0.148523,0.01484525,0.006869345,0.0003836661,0.0016513,0.01033664,0.8046511],"genre_scores_gemma":[0.1706734,0.005938034,0.09917497,0.009300929,0.002953696,0.00058565,0.003923311,0.002500751,0.7049493],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1114574,"threshold_uncertainty_score":0.3728622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06921454023359264,"score_gpt":0.2378449387785521,"score_spread":0.1686303985449595,"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."}}