{"id":"W4366598992","doi":"10.1145/3544549.3573830","title":"Behind the Scenes of Automation: Ghostly Care-Work, Maintenance, and Interferences","year":2023,"lang":"en","type":"article","venue":"","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Automation; Futures contract; Profitability index; Work (physics); Computer science; Sensibility; Emerging technologies; Engineering; Data science; Business; Artificial intelligence; Political science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001901153,0.0000744215,0.00009071198,0.0001791692,0.0000996216,0.00006321994,0.000500477,0.00004663571,0.00002497936],"category_scores_gemma":[0.00004897662,0.00004615805,0.00001963537,0.0006160582,0.0001798186,0.0003103539,0.0002826679,0.0001125258,0.00005667362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001676351,"about_ca_system_score_gemma":0.00002160644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000294383,"about_ca_topic_score_gemma":0.00005192966,"domain_scores_codex":[0.9993562,0.00003262473,0.0001764396,0.0001823835,0.0001209158,0.0001314204],"domain_scores_gemma":[0.9993057,0.0001030494,0.000095371,0.0002812751,0.0002049815,0.000009602458],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00001484266,0.00002748357,0.01438652,0.00005200164,0.00006661642,0.00001073306,0.01974889,0.00002957382,0.002274555,0.7559135,0.02274506,0.1847302],"study_design_scores_gemma":[0.001132474,0.0009165859,0.6696335,0.0005714267,0.00003010158,0.0001162562,0.02031834,0.06243385,0.153198,0.06737357,0.02340306,0.0008728356],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8995759,0.00009547557,0.06876729,0.008725707,0.0009626775,0.0002557778,0.000001741914,0.0007604164,0.02085503],"genre_scores_gemma":[0.9959522,0.00001141908,0.002634567,0.0001324909,0.00001846514,0.00001441719,0.000001322305,0.000003033424,0.00123204],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.68854,"threshold_uncertainty_score":0.1882271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02070666189220949,"score_gpt":0.2701700131543708,"score_spread":0.2494633512621613,"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."}}