{"id":"W4254933053","doi":"10.13085/eijtur.7.1.73-92","title":"New developments in time technology - projects, data, computing and services","year":2010,"lang":"en","type":"article","venue":"electronic International Journal of Time Use Research","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Office of Science; Economic and Social Research Council; University of Toronto; Rockwool Fonden; University of the West of England; Alfred P. Sloan Foundation; National Science Foundation","keywords":"Computer science; Data science; Engineering management; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003135766,0.0001008312,0.0001795098,0.000907802,0.00007786604,0.0005547861,0.00411822,0.00009674206,0.00002019843],"category_scores_gemma":[0.0001918232,0.00009022635,0.00002120107,0.0005959308,0.00004093918,0.0007911065,0.001456788,0.001161114,0.00008788287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001424963,"about_ca_system_score_gemma":0.001129317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001274642,"about_ca_topic_score_gemma":0.0000513958,"domain_scores_codex":[0.9976633,0.0001354286,0.0004169013,0.0002868891,0.001009873,0.0004875765],"domain_scores_gemma":[0.9985271,0.0002672987,0.0001939229,0.0003305282,0.0005883952,0.00009272197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005436144,0.00120902,0.1680901,0.0001467234,0.001742424,0.001770649,0.006316879,0.001161761,0.07930251,0.1113119,0.03228362,0.5961208],"study_design_scores_gemma":[0.005921912,0.001009365,0.02519841,0.001386337,0.00001490509,0.007417868,0.0001231592,0.6641945,0.003779403,0.01547561,0.2744949,0.0009836474],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9724334,0.0004681661,0.02281767,0.002798907,0.0005425912,0.0002361733,0.000005704821,0.00005828019,0.0006391318],"genre_scores_gemma":[0.9806795,0.00004091113,0.01816725,0.00003257347,0.000270071,5.689933e-7,0.00001438963,0.000008945529,0.000785815],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6630327,"threshold_uncertainty_score":0.7652745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03177818655993993,"score_gpt":0.3549167616314653,"score_spread":0.3231385750715254,"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."}}