{"id":"W2951224846","doi":"10.1145/3322276.3323687","title":"Diversifying the Domestic","year":2019,"lang":"en","type":"article","venue":"","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Vision; Mainstream; Work (physics); Sociology; Generative grammar; Engineering ethics; Public relations; Computer-supported cooperative work; Mobile technology; Mobile device; Political science; Computer science; Engineering","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":[0.006536251,0.0006347809,0.0006300963,0.001416473,0.00829036,0.0113323,0.001628642,0.001889719,0.01283682],"category_scores_gemma":[0.00561469,0.0003540554,0.0007005516,0.001385349,0.01934601,0.01081852,0.01473315,0.001922488,0.001391064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003565859,"about_ca_system_score_gemma":0.002286034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001353536,"about_ca_topic_score_gemma":0.00191483,"domain_scores_codex":[0.99055,0.007369623,0.0001403688,0.0008883419,0.0004794993,0.0005721212],"domain_scores_gemma":[0.9970793,0.001224448,0.000144446,0.0008911753,0.0002166138,0.000444214],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.000073585,0.0001069829,0.002367133,0.000256455,0.00001246733,0.0004696321,0.439668,0.0003279425,0.001176249,0.5003067,0.003673803,0.051561],"study_design_scores_gemma":[0.00003366128,0.0002222115,0.001251325,0.0005019148,0.000034417,0.0008522463,0.3068255,0.00062245,0.001251928,0.07854457,0.6098266,0.00003307301],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3769659,0.002663944,0.08571251,0.0110416,0.0006483955,0.0004481306,0.0001996818,0.0002855144,0.5220343],"genre_scores_gemma":[0.9640178,0.0008725664,0.01180312,0.00126083,0.00004890969,0.0004167365,0.00007355096,0.0001322848,0.02137414],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01283682,"threshold_uncertainty_score":0.04294342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01456910521508768,"score_gpt":0.2763629127475891,"score_spread":0.2617938075325014,"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."}}