{"id":"W2340966198","doi":"10.1145/2872518.2889308","title":"Generative Mappings of New Data Publics","year":2016,"lang":"en","type":"article","venue":"","topic":"Human Mobility and Location-Based Analysis","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Appropriation; Computer science; Generative grammar; Big data; Publics; Internet of Things; Social media; Human–computer interaction; Data science; World Wide Web; Multimedia; Internet privacy; Artificial intelligence; Political science; Epistemology","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":[0.009399833,0.0006979264,0.0005647474,0.003564195,0.005658202,0.0156994,0.002372887,0.001947298,0.02133132],"category_scores_gemma":[0.03632081,0.001245238,0.002198887,0.003060204,0.01407201,0.02868718,0.01701584,0.003697433,0.002614209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003577551,"about_ca_system_score_gemma":0.002770834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002706936,"about_ca_topic_score_gemma":0.002993003,"domain_scores_codex":[0.9900496,0.005300854,0.0004306574,0.001836385,0.001853975,0.0005284999],"domain_scores_gemma":[0.9815158,0.009134748,0.0005473587,0.00705989,0.001148925,0.0005933358],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001948886,0.00001805429,0.0004293174,0.00003824948,0.00001050769,0.0001596974,0.01170115,0.0007000642,0.0002678777,0.9773089,0.001328684,0.00801791],"study_design_scores_gemma":[0.00002543444,0.00002271295,0.0003999413,0.0001415476,0.00002863863,0.0003815681,0.009744807,0.007056379,0.001363552,0.8225214,0.1582803,0.00003362607],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04324154,0.000526236,0.7508041,0.01249666,0.0006104223,0.0003305384,0.0009839149,0.001759437,0.1892472],"genre_scores_gemma":[0.7329689,0.000701808,0.2231846,0.001254191,0.0002457245,0.0008830525,0.001674717,0.001815554,0.0372715],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02133132,"threshold_uncertainty_score":0.07136035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1276840718406355,"score_gpt":0.3608293699905145,"score_spread":0.233145298149879,"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."}}